Referenced by ⇅
Year
binaryTimeSeries : Analyzes a Binary Variable During a Time Series (Version 1.0.2)
2022
biokNN : Bi-Objective k-Nearest Neighbors Imputation for Multilevel Data (Version 0.1.0)
2021
lavaan.survey : Complex Survey Structural Equation Modeling (SEM) (Version 1.1.3.1)
2012
mdapack : Medical Data Analysis Pack (Version 0.0.2)
2020
pguIMP : "pguIMP" (Version 0.0.0.3)
2021
RegularizedSCA : Regularized Simultaneous Component Based Data Integration (Version 0.5.4)
2017
Replication : Test Replications by Means of the Prior Predictive p-Value (Version 0.1.2)
2019
RefBasedMI : (Version )
0
bucky : Bucky's Archive for Data Analysis in the Social Sciences (Version 1.0.7)
2017
ggeffects : Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 1.5.2)
2017
ggmice : Visualizations for 'mice' with 'ggplot2' (Version 0.1.0)
2022
mlim : Single and Multiple Imputation with Automated Machine Learning (Version 0.3.0)
2022
BGGM : Bayesian Gaussian Graphical Models (Version 2.1.1)
2020
BaM : Functions and Datasets for "Bayesian Methods: A Social and Behavioral Sciences Approach" (Version 1.0.3)
2008
CALIBERrfimpute : Multiple Imputation Using MICE and Random Forest (Version 1.0-7)
2013
FLAME : Interpretable Matching for Causal Inference (Version 2.1.1)
2018
HSAUR3 : A Handbook of Statistical Analyses Using R (3rd Edition) (Version 1.0-14)
2014
HardyWeinberg : Statistical Tests and Graphics for Hardy-Weinberg Equilibrium (Version 1.7.8)
2007
Hmisc : Harrell Miscellaneous (Version 5.1-2)
2003
IPWboxplot : Adapted Boxplot to Missing Observations (Version 0.1.2)
2019
ImputeRobust : Robust Multiple Imputation with Generalized Additive Models for Location Scale and Shape (Version 1.3-1)
2017
JWileymisc : Miscellaneous Utilities and Functions (Version 1.4.1)
2016
LMMstar : Repeated Measurement Models for Discrete Times (Version 1.0.1)
2021
LSAmitR : Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R' (Version 1.0-3)
2016
MIIPW : IPW and Mean Score Methods for Time-Course Missing Data (Version 0.1.1)
2021
MKinfer : Inferential Statistics (Version 1.2)
2019
MRPC : PC Algorithm with the Principle of Mendelian Randomization (Version 3.1.0)
2018
MSiP : 'MassSpectrometry' Interaction Prediction (Version 1.3.7)
2021
MatchThem : Matching and Weighting Multiply Imputed Datasets (Version 1.2.1)
2019
MixtureMissing : Robust and Flexible Model-Based Clustering for Data Sets with Missing Values at Random (Version 3.0.2)
2021
NADIA : NA Data Imputation Algorithms (Version 0.4.2)
2020
NIMAA : Nominal Data Mining Analysis (Version 0.2.1)
2021
OTrecod : Data Fusion using Optimal Transportation Theory (Version 0.1.2)
2021
Qtools : Utilities for Quantiles (Version 1.5.9)
2016
RBtest : Regression-Based Approach for Testing the Type of Missing Data (Version 1.1)
2019
RfEmpImp : Multiple Imputation using Chained Random Forests (Version 2.1.8)
2020
SLOPE : Sorted L1 Penalized Estimation (Version 0.5.0)
2015
StackImpute : Tools for Analysis of Stacked Multiple Imputations (Version 0.1.0)
2021
SynDI : Synthetic Data Integration (Version 0.1.0)
2022
TestDataImputation : Missing Item Responses Imputation for Test and Assessment Data (Version 2.3)
2016
accelmissing : Missing Value Imputation for Accelerometer Data (Version 1.4)
2016
adjustedCurves : Confounder-Adjusted Survival Curves and Cumulative Incidence Functions (Version 0.11.1)
2022
alookr : Model Classifier for Binary Classification (Version 0.3.9)
2020
autoReg : Automatic Linear and Logistic Regression and Survival Analysis (Version 0.3.3)
2022
basecamb : Utilities for Streamlined Data Import, Imputation and Modelling (Version 1.1.5)
2021
betaMC : Monte Carlo for Regression Effect Sizes (Version 1.3.2)
2023
bipd : Bayesian Individual Patient Data Meta-Analysis using 'JAGS' (Version 0.3)
2022
bootImpute : Bootstrap Inference for Multiple Imputation (Version 1.2.1)
2019
brms : Bayesian Regression Models using 'Stan' (Version 2.21.0)
2015
brokenstick : Broken Stick Model for Irregular Longitudinal Data (Version 2.5.0)
2020
broom.helpers : Helpers for Model Coefficients Tibbles (Version 1.15.0)
2020
cati : Community Assembly by Traits: Individuals and Beyond (Version 0.99.4)
2014
clusterMI : Cluster Analysis with Missing Values by Multiple Imputation (Version 1.0.0)
2024
cobalt : Covariate Balance Tables and Plots (Version 4.5.5)
2016
dlookr : Tools for Data Diagnosis, Exploration, Transformation (Version 0.6.3)
2018
dynr : Dynamic Models with Regime-Switching (Version 0.1.16-105)
2016
eatRep : Educational Assessment Tools for Replication Methods (Version 0.14.7)
2021
emmeans : Estimated Marginal Means, aka Least-Squares Means (Version 1.10.1)
2017
finalfit : Quickly Create Elegant Regression Results Tables and Plots when Modelling (Version 1.0.7)
2018
flevr : Flexible, Ensemble-Based Variable Selection with Potentially Missing Data (Version 0.0.4)
2023
gFormulaMI : G-Formula for Causal Inference via Multiple Imputation (Version 1.0.0)
2023
gerbil : Generalized Efficient Regression-Based Imputation with Latent Processes (Version 0.1.9)
2021
gtsummary : Presentation-Ready Data Summary and Analytic Result Tables (Version 1.7.2)
2019
hhsmm : Hidden Hybrid Markov/Semi-Markov Model Fitting (Version 0.3.6)
2021
holodeck : A Tidy Interface for Simulating Multivariate Data (Version 0.2.2)
2019
hot.deck : Multiple Hot Deck Imputation (Version 1.2)
2014
howManyImputations : Calculate How many Imputations are Needed for Multiple Imputation (Version 0.2.5)
2022
idem : Inference in Randomized Controlled Trials with Death and Missingness (Version 5.2)
2016
insight : Easy Access to Model Information for Various Model Objects (Version 0.19.10)
2019
intmed : Mediation Analysis using Interventional Effects (Version 0.1.2)
2020
joinet : Multivariate Elastic Net Regression (Version 0.0.10)
2019
konfound : Quantify the Robustness of Causal Inferences (Version 0.5.1)
2018
logistf : Firth's Bias-Reduced Logistic Regression (Version 1.26.0)
2003
manymome : Mediation, Moderation and Moderated-Mediation After Model Fitting (Version 0.1.14)
2022
marginaleffects : Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.19.0)
2021
mdmb : Model Based Treatment of Missing Data (Version 1.8-7)
2017
medflex : Flexible Mediation Analysis Using Natural Effect Models (Version 0.6-10)
2014
metavcov : Computing Variances and Covariances, Visualization and Missing Data Solution for Multivariate Meta-Analysis (Version 2.1.5)
2017
mi4p : Multiple Imputation for Proteomics (Version 1.1)
2021
miWQS : Multiple Imputation Using Weighted Quantile Sum Regression (Version 0.4.4)
2018
micd : Multiple Imputation in Causal Graph Discovery (Version 1.1.1)
2022
miceFast : Fast Imputations Using 'Rcpp' and 'Armadillo' (Version 0.8.2)
2018
miceadds : Some Additional Multiple Imputation Functions, Especially for 'mice' (Version 3.17-44)
2014
miceafter : Data and Statistical Analyses after Multiple Imputation (Version 0.5.0)
2021
micemd : Multiple Imputation by Chained Equations with Multilevel Data (Version 1.10.0)
2017
microeco : Microbial Community Ecology Data Analysis (Version 1.6.0)
2020
midastouch : Multiple Imputation by Distance Aided Donor Selection (Version 1.3)
2016
midfieldr : Tools and Methods for Working with MIDFIELD Data in 'R' (Version 1.0.1)
2023
mifa : Multiple Imputation for Exploratory Factor Analysis (Version 0.2.0)
2021
misaem : Linear Regression and Logistic Regression with Missing Covariates (Version 1.0.1)
2018
miselect : Variable Selection for Multiply Imputed Data (Version 0.9.2)
2020
missCompare : Intuitive Missing Data Imputation Framework (Version 1.0.3)
2019
missDiag : Comparing Observed and Imputed Values under MAR and MCAR (Version 1.0.1)
2021
missMDA : Handling Missing Values with Multivariate Data Analysis (Version 1.19)
2010
mitml : Tools for Multiple Imputation in Multilevel Modeling (Version 0.4-5)
2015
mixgb : Multiple Imputation Through 'XGBoost' (Version 1.0.2)
2022
modelsummary : Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready (Version 2.0.0)
2019
monoClust : Perform Monothetic Clustering with Extensions to Circular Data (Version 1.2.1)
2020
mvnimpute : Simultaneously Impute the Missing and Censored Values (Version 1.0.1)
2022
nncc : Nearest Neighbors Matching of Case-Control Data (Version 2.0.0)
2022
ordbetareg : Ordered Beta Regression Models with 'brms' (Version 0.7.2)
2022
parameters : Processing of Model Parameters (Version 0.21.6)
2019
pema : Penalized Meta-Analysis (Version 0.1.3)
2021
pre : Prediction Rule Ensembles (Version 1.0.7)
2016
psfmi : Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets (Version 1.4.0)
2019
qgcomp : Quantile G-Computation (Version 2.15.2)
2019
rattle : Graphical User Interface for Data Science in R (Version 5.5.1)
2013
realTimeloads : Analyte Flux and Load from Estimates of Concentration and Discharge (Version 1.0.0)
2023
regmedint : Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms (Version 1.0.1)
2020
rmsb : Bayesian Regression Modeling Strategies (Version 1.1-0)
2020
rms : Regression Modeling Strategies (Version 6.8-0)
2009
semTools : Useful Tools for Structural Equation Modeling (Version 0.5-6)
2012
semmcci : Monte Carlo Confidence Intervals in Structural Equation Modeling (Version 1.1.4)
2022
seqimpute : Imputation of Missing Data in Sequence Analysis (Version 2.0.0)
2022
shapeNA : M-Estimation of Shape for Data with Missing Values (Version 0.0.2)
2021
sjmisc : Data and Variable Transformation Functions (Version 2.8.9)
2015
smdi : Perform Structural Missing Data Investigations (Version 0.2.2)
2023
sociome : Operationalizing Social Determinants of Health Data for Researchers (Version 2.2.5)
2019
superMICE : SuperLearner Method for MICE (Version 1.1.1)
2022
svyweight : Quick and Flexible Survey Weighting (Version 0.1.0)
2022
weights : Weighting and Weighted Statistics (Version 1.0.4)
2011
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RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN).
Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.
