Referenced by ⇅
Year
Biocomb : Feature Selection and Classification with the Embedded
Validation Procedures for Biomedical Data Analysis (Version 0.4)
2015
DCD : Differential Community Detection in Paired Biological Networks (Version 0.1.0)
2017
DrugClust : Implementation of a Machine Learning Framework for Predicting
Drugs Side Effects (Version 0.2)
2016
healthcareai : Tools for Healthcare Machine Learning (Version 2.5.1)
2017
hybridEnsemble : Build, Deploy and Evaluate Hybrid Ensembles (Version 1.7.9)
2013
LEANR : Finds "Local Subnetworks" Within an Interaction Network which
Show Enrichment for Differentially Expressed Genes (Version 1.4.9)
2016
LOGANTree : Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments (Version 0.1.1)
2022
MetaIntegrator : Meta-Analysis of Gene Expression Data (Version 2.1.3)
2016
iRafNet : Integrative Random Forest for Gene Regulatory Network Inference (Version 1.1-1)
2016
btergm : Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood (Version 1.10.12)
2015
nlcv : Nested Loop Cross Validation (Version 0.3.5)
2017
nlnet : Nonlinear Network, Clustering, and Variable Selection Based on DCOL (Version 1.4)
2015
nlpred : Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples (Version 1.0.1)
2019
nproc : Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves (Version 2.1.5)
2016
AER : Applied Econometrics with R (Version 1.2-14)
2008
BayesPostEst : Generate Postestimation Quantities for Bayesian MCMC Estimation (Version 0.3.2)
2019
BioM2 : Biologically Explainable Machine Learning Framework (Version 1.1.0)
2023
CACIMAR : Cross-Species Analysis of Cell Identities, Markers and Regulations (Version 1.0.0)
2022
CSMES : Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions (Version 1.0.1)
2020
Comp2ROC : Compare Two ROC Curves that Intersect (Version 1.1.4)
2013
DRaWR : Discriminative Random Walk with Restart (Version 1.0.3)
2016
DWLS : Gene Expression Deconvolution Using Dampened Weighted Least Squares (Version 0.1.0)
2022
DeepLearningCausal : Causal Inference with Super Learner and Deep Neural Networks (Version 0.0.104)
2024
EBPRS : Derive Polygenic Risk Score Based on Emprical Bayes Theory (Version 2.1.0)
2018
EFS : Tool for Ensemble Feature Selection (Version 1.0.3)
2016
EMP : Expected Maximum Profit Classification Performance Measure (Version 2.0.5)
2014
EZtune : Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines (Version 3.1.1)
2018
GsymPoint : Estimation of the Generalized Symmetry Point, an Optimal Cutpoint in Continuous Diagnostic Tests (Version 1.1.2)
2015
HandTill2001 : Multiple Class Area under ROC Curve (Version 1.0.1)
2012
MLmetrics : Machine Learning Evaluation Metrics (Version 1.1.3)
2015
OmicKriging : Poly-Omic Prediction of Complex TRaits (Version 1.4.0)
2013
PRROC : Precision-Recall and ROC Curves for Weighted and Unweighted Data (Version 1.3.1)
2014
PredictABEL : Assessment of Risk Prediction Models (Version 1.2-4)
2011
ROCaggregator : Aggregate Multiple ROC Curves into One Global ROC (Version 1.0.1)
2021
SLModels : Stepwise Linear Models for Binary Classification Problems under Youden Index Optimisation (Version 0.1.2)
2022
Seurat : Tools for Single Cell Genomics (Version 5.1.0)
2017
SmartMeterAnalytics : Methods for Smart Meter Data Analysis (Version 1.0.3)
2020
SuperLearner : Super Learner Prediction (Version 2.0-29)
2011
TML : Tropical Geometry Tools for Machine Learning (Version 2.3.0)
2023
VIMPS : Calculate Variable Importance with Knock Off Variables (Version 1.0)
2024
WeightedROC : Fast, Weighted ROC Curves (Version 2020.1.31)
2017
aLFQ : Estimating Absolute Protein Quantities from Label-Free LC-MS/MS Proteomics Data (Version 1.3.6)
2013
alookr : Model Classifier for Binary Classification (Version 0.3.9)
2020
autoScorecard : Fully Automatic Generation of Scorecards (Version 0.3.0)
2023
bartMan : Create Visualisations for BART Models (Version 0.1.1)
2024
classifierplots : Generates a Visualization of Classifier Performance as a Grid of Diagnostic Plots (Version 1.4.0)
2017
cmaRs : Implementation of the Conic Multivariate Adaptive Regression Splines in R (Version 0.1.3)
2021
confcons : Confidence and Consistency of Predictive Distribution Models (Version 0.3.1)
2024
cvAUC : Cross-Validated Area Under the ROC Curve Confidence Intervals (Version 1.1.4)
2013
dismo : Species Distribution Modeling (Version 1.3-16)
2010
ePCR : Ensemble Penalized Cox Regression for Survival Prediction (Version 0.11.0)
2017
eSDM : Ensemble Tool for Predictions from Species Distribution Models (Version 0.4.4)
2019
envi : Environmental Interpolation using Spatial Kernel Density Estimation (Version 1.0.0)
2020
ezplot : Functions for Common Chart Types (Version 0.7.13)
2019
fdm2id : Data Mining and R Programming for Beginners (Version 0.9.9)
2019
funModeling : Exploratory Data Analysis and Data Preparation Tool-Box (Version 1.9.5)
2016
ggfortify : Data Visualization Tools for Statistical Analysis Results (Version 0.4.17)
2015
gkmSVM : Gapped-Kmer Support Vector Machine (Version 0.83.0)
2015
influenceAUC : Identify Influential Observations in Binary Classification (Version 0.1.2)
2020
jmv : The 'jamovi' Analyses (Version 2.5.6)
2017
lulcc : Land Use Change Modelling in R (Version 1.0.4)
2015
mccf1 : Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and the Best Threshold (Version 1.1)
2018
mlr : Machine Learning in R (Version 2.19.2)
2013
nestedcv : Nested Cross-Validation with 'glmnet' and 'caret' (Version 0.7.12)
2022
prcbench : Testing Workbench for Precision-Recall Curves (Version 1.1.8)
2016
qeML : Quick and Easy Machine Learning Tools (Version 1.1)
2023
rattle : Graphical User Interface for Data Science in R (Version 5.5.1)
2013
rawKS : Easily Get True-Positive Rate and False-Positive Rate and KS Statistic (Version 0.1.0)
2020
rocc : ROC Based Classification (Version 1.3)
2010
sand : Statistical Analysis of Network Data with R, 2nd Edition (Version 2.0.0)
2014
sirus : Stable and Interpretable RUle Set (Version 0.3.3)
2019
smallstuff : Dr. Small's Functions (Version 1.0.3)
2022
sperrorest : Perform Spatial Error Estimation and Variable Importance Assessment (Version 3.0.5)
2012
swa : Subsampling Winner Algorithm for Classification (Version 0.8.1)
2017
tmle : Targeted Maximum Likelihood Estimation (Version 2.0.1.1)
2012
traineR : Predictive (Classification and Regression) Models Homologator (Version 2.2.0)
2019
utiml : Utilities for Multi-Label Learning (Version 0.1.7)
2016
vandalico : Evaluation of Presence-Absence Models (Version 0.1.0)
2022
vimp : Perform Inference on Algorithm-Agnostic Variable Importance (Version 2.3.3)
2018
Showing 1-79 of 79
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