R Package Scholar
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nnet: Feed-Forward Neural Networks and Multinomial Log-Linear Models

Brian Ripley  William Venables   View description and downloadsView dependenciesGitHub project

2009 Published
7.3-19 Version
0 Citations
2 Authors
Referenced by ⇅ Year
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CIMTx: Causal Inference for Multiple Treatments with a Binary Outcome (Version 1.2.0)

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CLME: Constrained Inference for Linear Mixed Effects Models (Version 2.0-12)

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CausalMetaR: Causally Interpretable Meta-Analysis (Version 0.1.2)

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CoImp: Parametric and Non-Parametric Copula-Based Imputation Methods (Version 2.0.1)

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Compositional: Compositional Data Analysis (Version 7.1)

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CondCopulas: Estimation and Inference for Conditional Copula Models (Version 0.1.4.1)

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DChaos: Chaotic Time Series Analysis (Version 0.1-7)

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DTRreg: DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv) (Version 2.2)

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DirectEffects: Estimating Controlled Direct Effects for Explaining Causal Findings (Version 0.3)

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DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes (Version 4.15)

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EPX: Ensemble of Phalanxes (Version 1.0.4)

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EffectLiteR: Average and Conditional Effects (Version 0.5-1)

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EnsembleBase: Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling (Version 1.0.2)

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EpiForsk: Code Sharing at the Department of Epidemiological Research at Statens Serum Institut (Version 0.1.1)

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ExactMed: Exact Mediation Analysis for Binary Outcomes (Version 0.3.0)

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ExplainPrediction: Explanation of Predictions for Classification and Regression Models (Version 1.3.0)

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FLAME: Interpretable Matching for Causal Inference (Version 2.1.1)

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Frames2: Estimation in Dual Frame Surveys (Version 0.2.1)

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GAparsimony: Searching Parsimony Models with Genetic Algorithms (Version 0.9.5)

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GGally: Extension to 'ggplot2' (Version 2.2.1)

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GLMpack: Data and Code to Accompany Generalized Linear Models, 2nd Edition (Version 0.1.0)

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GMDH2: Binary Classification via GMDH-Type Neural Network Algorithms (Version 1.8)

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GPSCDF: Generalized Propensity Score Cumulative Distribution Function (Version 0.1.1)

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GenMarkov: Multivariate Markov Chains (Version 0.2.0)

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HandTill2001: Multiple Class Area under ROC Curve (Version 1.0.1)

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HardyWeinberg: Statistical Tests and Graphics for Hardy-Weinberg Equilibrium (Version 1.7.8)

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Hmisc: Harrell Miscellaneous (Version 5.2-0)

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Hmsc: Hierarchical Model of Species Communities (Version 3.0-13)

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ImputeLongiCovs: Longitudinal Imputation of Categorical Variables via a Joint Transition Model (Version 0.1.0)

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IsingSampler: Sampling Methods and Distribution Functions for the Ising Model (Version 0.2.3)

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JSDNE: Estimating the Age using Auricular Surface by DNE (Version 4.4.4)

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LCAvarsel: Variable Selection for Latent Class Analysis (Version 1.1)

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LDATS: Latent Dirichlet Allocation Coupled with Time Series Analyses (Version 0.3.0)

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LUCIDus: LUCID with Multiple Omics Data (Version 3.0.3)

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LearnPCA: Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA) (Version 0.3.4)

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MASS: Support Functions and Datasets for Venables and Ripley's MASS (Version 7.3-61)

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MEDseq: Mixtures of Exponential-Distance Models with Covariates (Version 1.4.1)

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MEclustnet: Fit the Mixture of Experts Latent Position Cluster Model to Network Data (Version 1.2.2)

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MNLR: Interactive Shiny Presentation for Working with Multinomial Logistic Regression (Version 0.1.0)

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MNLpred: Simulated Predicted Probabilities for Multinomial Logit Models (Version 0.0.8)

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MSclassifR: Automated Classification of Mass Spectra (Version 0.3.3)

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MaOEA: Many Objective Evolutionary Algorithm (Version 0.6.2)

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MachineShop: Machine Learning Models and Tools (Version 3.8.0)

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MatchIt: Nonparametric Preprocessing for Parametric Causal Inference (Version 4.6.0)

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MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component (Version 1.5.2)

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ModTools: Building Regression and Classification Models (Version 0.9.13)

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Modeler: Classes and Methods for Training and Using Binary Prediction Models (Version 3.4.5)

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MuMIn: Multi-Model Inference (Version 1.48.4)

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NeuralNetTools: Visualization and Analysis Tools for Neural Networks (Version 1.5.3)

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NeuralSens: Sensitivity Analysis of Neural Networks (Version 1.1.3)

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ODRF: Oblique Decision Random Forest for Classification and Regression (Version 0.0.4)

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PSweight: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials (Version 1.2.0)

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ProFAST: Probabilistic Factor Analysis for Spatially-Aware Dimension Reduction (Version 1.4)

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RBtest: Regression-Based Approach for Testing the Type of Missing Data (Version 1.1)

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RISCA: Causal Inference and Prediction in Cohort-Based Analyses (Version 1.0.5)

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ROSE: Random Over-Sampling Examples (Version 0.0-4)

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RRMLRfMC: Reduced-Rank Multinomial Logistic Regression for Markov Chains (Version 0.4.0)

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RTextTools: Automatic Text Classification via Supervised Learning (Version 1.4.3)

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RVAideMemoire: Testing and Plotting Procedures for Biostatistics (Version 0.9-83-7)

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RaSEn: Random Subspace Ensemble Classification and Variable Screening (Version 3.0.0)

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RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames (Version 0.91.6)

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Rcmdr: R Commander (Version 2.9-5)

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RcmdrPlugin.NMBU: R Commander Plug-in for University Level Applied Statistics (Version 1.8.15)

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RecordLinkage: Record Linkage Functions for Linking and Deduplicating Data Sets (Version 0.4-12.4)

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SDMtune: Species Distribution Model Selection (Version 1.3.1)

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SEMdeep: Structural Equation Modeling with Deep Neural Network and Machine Learning (Version 0.1.0)

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SIDES: Subgroup Identification Based on Differential Effect Search (Version 1.18)

2016
SLCARE: Semiparametric Latent Class Analysis of Recurrent Events (Version 1.2.0)

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SLEMI: Statistical Learning Based Estimation of Mutual Information (Version 1.0.2)

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SSDM: Stacked Species Distribution Modelling (Version 0.2.9)

2016
ShinyItemAnalysis: Test and Item Analysis via Shiny (Version 1.5.2)

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Sojourn.Data: Supporting Objects for Sojourn Accelerometer Methods (Version 0.3.0)

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SuperLearner: Super Learner Prediction (Version 2.0-29)

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TBFmultinomial: TBF Methodology Extension for Multinomial Outcomes (Version 0.1.3)

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TDSTNN: Time Delay Spatio Temporal Neural Network (Version 0.1.0)

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TSPred: Functions for Benchmarking Time Series Prediction (Version 5.1)

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TheSFACE: The Subtype Free Average Causal Effect (Version 0.1.0)

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VIM: Visualization and Imputation of Missing Values (Version 6.2.2)

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VLMCX: Variable Length Markov Chain with Exogenous Covariates (Version 1.0)

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WeightedCluster: Clustering of Weighted Data (Version 1.8-0)

2013
abc: Tools for Approximate Bayesian Computation (ABC) (Version 2.2.1)

2010
abn: Modelling Multivariate Data with Additive Bayesian Networks (Version 3.1.1)

2011
adjustedCurves: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions (Version 0.11.2)

2022
analyzer: Data Analysis and Automated R Notebook Generation (Version 1.0.1)

2020
aplore3: Datasets from Hosmer, Lemeshow and Sturdivant, "Applied Logistic Regression" (3rd Ed., 2013) (Version 0.9)

2014
autostats: Auto Stats (Version 0.4.1)

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baguette: Efficient Model Functions for Bagging (Version 1.0.2)

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bamlss: Bayesian Additive Models for Location, Scale, and Shape (and Beyond) (Version 1.2-5)

2017
batchtma: Batch Effect Adjustments (Version 0.1.6)

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bcROCsurface: Bias-Corrected Methods for Estimating the ROC Surface of Continuous Diagnostic Tests (Version 1.0-6)

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biomod2: Ensemble Platform for Species Distribution Modeling (Version 4.2-5-2)

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bndovb: Bounding Omitted Variable Bias Using Auxiliary Data (Version 1.1)

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brglm2: Bias Reduction in Generalized Linear Models (Version 0.9.2)

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broom.helpers: Helpers for Model Coefficients Tibbles (Version 1.17.0)

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broom: Convert Statistical Objects into Tidy Tibbles (Version 1.0.7)

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bruceR: Broadly Useful Convenient and Efficient R Functions (Version 2024.6)

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buildmer: Stepwise Elimination and Term Reordering for Mixed-Effects Regression (Version 2.11)

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burgle: 'Burgle': Stealing the Necessary Parts of Model Objects (Version 0.1.2)

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butcher: Model Butcher (Version 0.3.4)

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car: Companion to Applied Regression (Version 3.1-3)

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caretEnsemble: Ensembles of Caret Models (Version 4.0.1)

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caret: Classification and Regression Training (Version 6.0-94)

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catdata: Categorical Data (Version 1.2.4)

2012
catregs: Post-Estimation Functions for Generalized Linear Mixed Models (Version 1.2.2)

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causal.decomp: Causal Decomposition Analysis (Version 0.1.0)

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causalBatch: Causal Batch Effects (Version 1.2.0)

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causaldrf: Estimating Causal Dose Response Functions (Version 0.4.2)

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cdgd: Causal Decomposition of Group Disparities (Version 0.3.5)

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cemco: Fit 'CemCO' Algorithm (Version 0.2)

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chemometrics: Multivariate Statistical Analysis in Chemometrics (Version 1.4.4)

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clarkeTest: Distribution-Free Tests of Non-Nested Models (Version 0.2.0)

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classmap: Visualizing Classification Results (Version 1.2.3)

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coca: Cluster-of-Clusters Analysis (Version 1.1.0)

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comorbidPGS: Assessing Predisposition Between Phenotypes using Polygenic Scores (Version 0.3.4)

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condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)

2019
corHMM: Hidden Markov Models of Character Evolution (Version 2.8)

2013
cpfa: Classification with Parallel Factor Analysis (Version 1.1-6)

2022
cpt: Classification Permutation Test (Version 1.0.2)

2017
cv: Cross-Validating Regression Models (Version 2.0.3)

2023
cvms: Cross-Validation for Model Selection (Version 1.6.2)

2019
daltoolbox: Leveraging Experiment Lines to Data Analytics (Version 1.1.727)

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depmixS4: Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4 (Version 1.5-0)

2008
difNLR: DIF and DDF Detection by Non-Linear Regression Models (Version 1.4.2-1)

2016
discSurv: Discrete Time Survival Analysis (Version 2.0.0)

2015
diversityForest: Innovative Complex Split Procedures in Random Forests Through Candidate Split Sampling (Version 0.5.0)

2020
drglm: Fitting Linear and Generalized Linear Models in "Divide and Recombine" Approach to Large Data Sets (Version 1.1)

2024
drpop: Efficient and Doubly Robust Population Size Estimation (Version 0.0.3)

2021
e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien (Version 1.7-16)

1999
effects: Effect Displays for Linear, Generalized Linear, and Other Models (Version 4.2-2)

2003
eglhmm: Extended Generalised Linear Hidden Markov Models (Version 0.1-3)

2023
elect: Estimation of Life Expectancies Using Multi-State Models (Version 1.2)

2018
em: Generic EM Algorithm (Version 1.0.0)

2023
emmeans: Estimated Marginal Means, aka Least-Squares Means (Version 1.10.5)

2017
epiDisplay: Epidemiological Data Display Package (Version 3.5.0.2)

2015
evclass: Evidential Distance-Based Classification (Version 2.0.2)

2016
evreg: Evidential Regression (Version 1.1.1)

2023
fRegression: Rmetrics - Regression Based Decision and Prediction (Version 4021.83)

2007
fable: Forecasting Models for Tidy Time Series (Version 0.4.1)

2019
factormodel: Factor Model Estimation Using Proxy Variables (Version 1.0)

2021
factorplot: Presenting Pairwise Comparisons (Version 1.2.3)

2014
familiar: End-to-End Automated Machine Learning and Model Evaluation (Version 1.5.0)

2022
fdm2id: Data Mining and R Programming for Beginners (Version 0.9.9)

2019
flexmix: Flexible Mixture Modeling (Version 2.3-19)

2003
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)

2023
forecast: Forecasting Functions for Time Series and Linear Models (Version 8.23.0)

2009
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)

2013
gWQS: Generalized Weighted Quantile Sum Regression (Version 3.0.5)

2016
gamlss.add: Extra Additive Terms for Generalized Additive Models for Location Scale and Shape (Version 5.1-13)

2009
gamlss.mx: Fitting Mixture Distributions with GAMLSS (Version 6.0-1)

2007
generalhoslem: Goodness of Fit Tests for Logistic Regression Models (Version 1.3.4)

2016
geomod: A Computer Program for Geotechnical Investigations (Version 0.1.0)

2023
gesttools: General Purpose G-Estimation for End of Study or Time-Varying Outcomes (Version 1.3.0)

2020
gfoRmula: Parametric G-Formula (Version 1.1.0)

2019
gfoRmulaICE: Parametric Iterative Conditional Expectation G-Formula (Version 0.1.0)

2024
ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 2.0.0)

2017
ggstats: Extension to 'ggplot2' for Plotting Stats (Version 0.7.0)

2022
glm.predict: Predicted Values and Discrete Changes for Regression Models (Version 4.3-0)

2016
glmglrt: GLRT P-Values in Generalized Linear Models (Version 0.2.2)

2020
glmulti: Model Selection and Multimodel Inference Made Easy (Version 1.0.8)

2009
gnm: Generalized Nonlinear Models (Version 1.1-5)

2005
gofcat: Goodness-of-Fit Measures for Categorical Response Models (Version 0.1.2)

2022
gscaLCA: Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression (Version 0.0.5)

2019
gspcr: Generalized Supervised Principal Component Regression (Version 0.9.5)

2023
gtsummary: Presentation-Ready Data Summary and Analytic Result Tables (Version 2.0.4)

2019
hesim: Health Economic Simulation Modeling and Decision Analysis (Version 0.5.5)

2017
hmm.discnp: Hidden Markov Models with Discrete Non-Parametric Observation Distributions (Version 3.0-9)

2005
hnp: Half-Normal Plots with Simulation Envelopes (Version 1.2-6)

2014
huxtable: Easily Create and Style Tables for LaTeX, HTML and Other Formats (Version 5.5.7)

2017
iBreakDown: Model Agnostic Instance Level Variable Attributions (Version 2.1.2)

2019
insight: Easy Access to Model Information for Various Model Objects (Version 1.0.0)

2019
ipred: Improved Predictors (Version 0.9-15)

2002
ipw: Estimate Inverse Probability Weights (Version 1.2.1)

2010
isni: Index of Local Sensitivity to Nonignorability (Version 1.3)

2018
ivitr: Estimate IV-Optimal Individualized Treatment Rules (Version 0.1.0)

2020
jmv: The 'jamovi' Analyses (Version 2.5.6)

2017
kgschart: KGS Rank Graph Parser (Version 1.3.5)

2017
lda: Collapsed Gibbs Sampling Methods for Topic Models (Version 1.5.2)

2009
lmap: Logistic Mapping (Version 0.1.2)

2022
logisticRR: Adjusted Relative Risk from Logistic Regression (Version 0.3.0)

2018
mDAG: Inferring Causal Network from Mixed Observational Data Using a Directed Acyclic Graph (Version 1.2.2)

2019
mExplorer: Identifying Master Gene Regulators from Gene Expression and DNA-Binding Data (Version 1.0.0)

2017
margins: Marginal Effects for Model Objects (Version 0.3.28)

2017
marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.24.0)

2021
matrixdist: Statistics for Matrix Distributions (Version 1.1.9)

2021
mboost: Model-Based Boosting (Version 2.9-11)

2006
mcca: Multi-Category Classification Accuracy (Version 0.7.0)

2017
mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion (Version 0.9.6)

2010
mi: Missing Data Imputation and Model Checking (Version 1.1)

2008
micd: Multiple Imputation in Causal Graph Discovery (Version 1.1.1)

2022
mice: Multivariate Imputation by Chained Equations (Version 3.17.0)

2006
mixvlmc: Variable Length Markov Chains with Covariates (Version 0.2.1)

2023
mlearning: Machine Learning Algorithms with Unified Interface and Confusion Matrices (Version 1.2.1)

2013
mlogit: Multinomial Logit Models (Version 1.1-1)

2008
mlr: Machine Learning in R (Version 2.19.2)

2013
mlr3learners: Recommended Learners for 'mlr3' (Version 0.9.0)

2019
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)

2017
mlt.docreg: Most Likely Transformations: Documentation and Regression Tests (Version 1.1-10)

2016
mlt: Most Likely Transformations (Version 1.6-1)

2016
modelsummary: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready (Version 2.2.0)

2019
multe: Multiple Treatment Effects Regression (Version 1.1.0)

2024
multpois: Analyze Nominal Response Data with the Multinomial-Poisson Trick (Version 0.2.0)

2024
mvrsquared: Compute the Coefficient of Determination for Vector or Matrix Outcomes (Version 0.1.5)

2020
nestedLogit: Nested Dichotomy Logistic Regression Models (Version 0.3.2)

2023
netseer: Graph Prediction from a Graph Time Series (Version 0.1.1)

2024
nftbart: Nonparametric Failure Time Bayesian Additive Regression Trees (Version 2.1)

2021
nlpsem: Linear and Nonlinear Longitudinal Process in Structural Equation Modeling Framework (Version 0.3)

2023
noisemodel: Noise Models for Classification Datasets (Version 1.0.2)

2022
npcs: Neyman-Pearson Classification via Cost-Sensitive Learning (Version 0.1.1)

2021
ordinal: Regression Models for Ordinal Data (Version 2023.12-4.1)

2010
ordinalForest: Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables (Version 2.4-4)

2017
papaja: Prepare American Psychological Association Journal Articles with R Markdown (Version 0.1.3)

2022
parameters: Processing of Model Parameters (Version 0.24.0)

2019
pdp: Partial Dependence Plots (Version 0.8.2)

2016
pemultinom: L1-Penalized Multinomial Regression with Statistical Inference (Version 0.1.0)

2023
performanceEstimation: An Infra-Structure for Performance Estimation of Predictive Models (Version 1.1.0)

2013
personalized: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine (Version 0.2.7)

2017
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)

2023
pmml: Generate PMML for Various Models (Version 2.5.2)

2007
pocrm: Dose Finding in Drug Combination Phase I Trials Using PO-CRM (Version 0.13)

2013
polyreg: Polynomial Regression (Version 0.8.0)

2019
poolABC: Approximate Bayesian Computation with Pooled Sequencing Data (Version 1.0.0)

2023
prediction: Tidy, Type-Safe 'prediction()' Methods (Version 0.3.18)

2016
probably: Tools for Post-Processing Predicted Values (Version 1.0.3)

2018
projpred: Projection Predictive Feature Selection (Version 2.8.0)

2018
psychomix: Psychometric Mixture Models (Version 1.1-9)

2011
qgcomp: Quantile G-Computation (Version 2.15.2)

2019
relimp: Relative Contribution of Effects in a Regression Model (Version 1.0-5)

2002
rgnoisefilt: Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.2)

2023
riAFTBART: A Flexible Approach for Causal Inference with Multiple Treatments and Clustered Survival Outcomes (Version 0.3.3)

2022
rminer: Data Mining Classification and Regression Methods (Version 1.4.8)

2011
rms: Regression Modeling Strategies (Version 6.8-2)

2009
rties: Modeling Interpersonal Dynamics (Version 5.0.0)

2020
semiArtificial: Generator of Semi-Artificial Data (Version 2.4.1)

2014
seqHMM: Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series (Version 1.2.6)

2015
seqimpute: Imputation of Missing Data in Sequence Analysis (Version 2.1.0)

2022
sharp: Stability-enHanced Approaches using Resampling Procedures (Version 1.4.6)

2022
shipunov: Miscellaneous Functions from Alexey Shipunov (Version 1.17.1)

2019
sigQC: Quality Control Metrics for Gene Signatures (Version 0.1.24)

2017
simPop: Simulation of Complex Synthetic Data Information (Version 2.1.3)

2014
sits: Satellite Image Time Series Analysis for Earth Observation Data Cubes (Version 1.5.1)

2022
sjmisc: Data and Variable Transformation Functions (Version 2.8.10)

2015
sodavis: SODA: Main and Interaction Effects Selection for Logistic Regression, Quadratic Discriminant and General Index Models (Version 1.2)

2015
sparklyr: R Interface to Apache Spark (Version 1.8.6)

2016
sperrorest: Perform Spatial Error Estimation and Variable Importance Assessment (Version 3.0.5)

2012
spls: Sparse Partial Least Squares (SPLS) Regression and Classification (Version 2.2-3)

2008
sr: Smooth Regression - The Gamma Test and Tools (Version 0.1.0)

2023
stablelearner: Stability Assessment of Statistical Learning Methods (Version 0.1-5)

2018
stacks: Tidy Model Stacking (Version 1.0.5)

2020
stargazer: Well-Formatted Regression and Summary Statistics Tables (Version 5.2.3)

2012
stdReg2: Regression Standardization for Causal Inference (Version 1.0.1)

2024
subsampling: Optimal Subsampling Methods for Statistical Models (Version 0.1.1)

2024
subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits (Version 0.1.0)

2014
superMICE: SuperLearner Method for MICE (Version 1.1.1)

2022
survivalPLANN: Neural Networks to Predict Survival (Version 0.1)

2024
synthpop: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control (Version 1.8-0)

2014
texreg: Conversion of R Regression Output to LaTeX or HTML Tables (Version 1.39.4)

2012
tidyfit: Regularized Linear Modeling with Tidy Data (Version 0.7.2)

2022
traineR: Predictive (Classification and Regression) Models Homologator (Version 2.2.0)

2019
translate.logit: Translation of Logit Regression Coefficients into Percentages (Version 1.0)

2023
tsDyn: Nonlinear Time Series Models with Regime Switching (Version 11.0.5.2)

2006
validann: Validation Tools for Artificial Neural Networks (Version 1.2.1)

2016
vcdExtra: 'vcd' Extensions and Additions (Version 0.8-5)

2010
viraldomain: Applicability Domain Methods of Viral Load and CD4 Lymphocytes (Version 0.0.6)

2023
vip: Variable Importance Plots (Version 0.4.1)

2018
visualpred: Visualization 2D of Binary Classification Models (Version 0.1.1)

2020

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