Referenced by ⇅
Year
RulesTools : Preparing, Analyzing, and Visualizing Association Rules (Version 0.1.1)
2025
CIMPLE : Analysis of Longitudinal Electronic Health Record (EHR) Data with Possibly Informative Observational Time (Version 0.1.0)
2024
MIGEE : Impute Missing Values and Fitting Linear Mixed Effect Model (Version 0.1.0)
2024
RSquaredMI : R-Squared with Multiply Imputed Data (Version 0.2.0)
2024
SBMTrees : Sequential Imputation with Bayesian Trees Mixed-Effects Models for Longitudinal Data (Version 1.2)
2024
clusterMI : Cluster Analysis with Missing Values by Multiple Imputation (Version 1.5)
2024
cmahalanobis : Calculate Distance Measures for a Given List of Data Frames with Factors (Version 0.5.0)
2024
fastml : Fast Machine Learning Model Training and Evaluation (Version 0.5.0)
2024
midoc : A Decision-Making System for Multiple Imputation (Version 1.0.0)
2024
rqlm : Modified Poisson and Least-Squares Regressions for Binary Outcome and Their Generalizations (Version 2.3-1)
2024
vsmi : Variable Selection for Multiple Imputed Data (Version 0.1.0)
2024
RefBasedMI : Reference-Based Imputation for Longitudinal Clinical Trials with Protocol Deviation (Version 0.2.0)
2023
betaMC : Monte Carlo for Regression Effect Sizes (Version 1.3.2)
2023
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
midfieldr : Tools and Methods for Working with MIDFIELD Data in 'R' (Version 1.0.2)
2023
mvs : Methods for High-Dimensional Multi-View Learning (Version 2.0.0)
2023
realTimeloads : Analyte Flux and Load from Estimates of Concentration and Discharge (Version 1.0.0)
2023
smdi : Perform Structural Missing Data Investigations (Version 0.3.1)
2023
binaryTimeSeries : Analyzes a Binary Variable During a Time Series (Version 1.0.2)
2022
SynDI : Synthetic Data Integration (Version 0.1.0)
2022
adjustedCurves : Confounder-Adjusted Survival Curves and Cumulative Incidence Functions (Version 0.11.2)
2022
autoReg : Automatic Linear and Logistic Regression and Survival Analysis (Version 0.3.3)
2022
bipd : Bayesian Individual Patient Data Meta-Analysis using 'JAGS' (Version 0.3)
2022
dynamite : Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data (Version 1.5.5)
2022
ggmice : Visualizations for 'mice' with 'ggplot2' (Version 0.1.0)
2022
howManyImputations : Calculate How many Imputations are Needed for Multiple Imputation (Version 0.2.5)
2022
manymome : Mediation, Moderation and Moderated-Mediation After Model Fitting (Version 0.2.7)
2022
micd : Multiple Imputation in Causal Graph Discovery (Version 1.1.1)
2022
mixgb : Multiple Imputation Through 'XGBoost' (Version 1.5.2)
2022
mlim : Single and Multiple Imputation with Automated Machine Learning (Version 0.3.0)
2022
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 0.8)
2022
semmcci : Monte Carlo Confidence Intervals in Structural Equation Modeling (Version 1.1.4)
2022
seqimpute : Imputation of Missing Data in Sequence Analysis (Version 2.2.0)
2022
superMICE : SuperLearner Method for MICE (Version 1.1.1)
2022
svyweight : Quick and Flexible Survey Weighting (Version 0.1.0)
2022
biokNN : Bi-Objective k-Nearest Neighbors Imputation for Multilevel Data (Version 0.1.0)
2021
pguIMP : "pguIMP" (Version 0.0.0.3)
2021
LMMstar : Repeated Measurement Models for Discrete Times (Version 1.1.0)
2021
MIIPW : IPW and Mean Score Methods for Time-Course Missing Data (Version 0.1.1)
2021
MSiP : 'MassSpectrometry' Interaction Prediction (Version 1.3.7)
2021
MixtureMissing : Robust and Flexible Model-Based Clustering for Data Sets with Missing Values at Random (Version 3.0.4)
2021
NIMAA : Nominal Data Mining Analysis (Version 0.2.1)
2021
OTrecod : Data Fusion using Optimal Transportation Theory (Version 0.1.2)
2021
StackImpute : Tools for Analysis of Stacked Multiple Imputations (Version 0.1.0)
2021
basecamb : Utilities for Streamlined Data Import, Imputation and Modelling (Version 1.1.5)
2021
eatRep : Educational Assessment Tools for Replication Methods (Version 0.15.1)
2021
gerbil : Generalized Efficient Regression-Based Imputation with Latent Processes (Version 0.1.9)
2021
hhsmm : Hidden Hybrid Markov/Semi-Markov Model Fitting (Version 0.4.2)
2021
marginaleffects : Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.25.0)
2021
mi4p : Multiple Imputation for Proteomics (Version 1.2)
2021
miceafter : Data and Statistical Analyses after Multiple Imputation (Version 0.5.0)
2021
mifa : Multiple Imputation for Exploratory Factor Analysis (Version 0.2.0)
2021
missDiag : Comparing Observed and Imputed Values under MAR and MCAR (Version 1.0.1)
2021
pema : Penalized Meta-Analysis (Version 0.1.3)
2021
shapeNA : M-Estimation of Shape for Data with Missing Values (Version 0.0.2)
2021
mdapack : Medical Data Analysis Pack (Version 0.0.2)
2020
NADIA : NA Data Imputation Algorithms (Version 0.4.2)
2020
BGGM : Bayesian Gaussian Graphical Models (Version 2.1.5)
2020
RfEmpImp : Multiple Imputation using Chained Random Forests (Version 2.1.8)
2020
alookr : Model Classifier for Binary Classification (Version 0.3.9)
2020
brokenstick : Broken Stick Model for Irregular Longitudinal Data (Version 2.5.0)
2020
broom.helpers : Helpers for Model Coefficients Tibbles (Version 1.20.0)
2020
intmed : Mediation Analysis using Interventional Effects (Version 0.1.2)
2020
microeco : Microbial Community Ecology Data Analysis (Version 1.13.0)
2020
miselect : Variable Selection for Multiply Imputed Data (Version 0.9.2)
2020
misty : Miscellaneous Functions 'T. Yanagida' (Version 0.7.0)
2020
monoClust : Perform Monothetic Clustering with Extensions to Circular Data (Version 1.2.1)
2020
regmedint : Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms (Version 1.0.1)
2020
rmsb : Bayesian Regression Modeling Strategies (Version 1.1-1)
2020
tidySEM : Tidy Structural Equation Modeling (Version 0.2.8)
2020
Replication : Test Replications by Means of the Prior Predictive p-Value (Version 0.1.2)
2019
IPWboxplot : Adapted Boxplot to Missing Observations (Version 0.1.2)
2019
MKinfer : Inferential Statistics (Version 1.2)
2019
MatchThem : Matching and Weighting Multiply Imputed Datasets (Version 1.2.1)
2019
RBtest : Regression-Based Approach for Testing the Type of Missing Data (Version 1.1)
2019
bootImpute : Bootstrap Inference for Multiple Imputation (Version 1.2.1)
2019
gtsummary : Presentation-Ready Data Summary and Analytic Result Tables (Version 2.1.0)
2019
holodeck : A Tidy Interface for Simulating Multivariate Data (Version 0.2.2)
2019
insight : Easy Access to Model Information for Various Model Objects (Version 1.1.0)
2019
joinet : Penalised Multivariate Regression ('Multi-Target Learning') (Version 1.0.0)
2019
missCompare : Intuitive Missing Data Imputation Framework (Version 1.0.3)
2019
modelsummary : Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready (Version 2.3.0)
2019
parameters : Processing of Model Parameters (Version 0.24.2)
2019
psfmi : Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets (Version 1.4.0)
2019
qgcomp : Quantile G-Computation (Version 2.17.4)
2019
sociome : Operationalizing Social Determinants of Health Data for Researchers (Version 2.2.5)
2019
FLAME : Interpretable Matching for Causal Inference (Version 2.1.1)
2018
MRPC : PC Algorithm with the Principle of Mendelian Randomization (Version 3.1.0)
2018
dlookr : Tools for Data Diagnosis, Exploration, Transformation (Version 0.6.3)
2018
finalfit : Quickly Create Elegant Regression Results Tables and Plots when Modelling (Version 1.0.8)
2018
konfound : Quantify the Robustness of Causal Inferences (Version 1.0.2)
2018
miWQS : Multiple Imputation Using Weighted Quantile Sum Regression (Version 0.4.4)
2018
miceFast : Fast Imputations Using 'Rcpp' and 'Armadillo' (Version 0.8.5)
2018
misaem : Linear Regression and Logistic Regression with Missing Covariates (Version 1.0.1)
2018
RegularizedSCA : Regularized Simultaneous Component Based Data Integration (Version 0.5.4)
2017
bucky : Bucky's Archive for Data Analysis in the Social Sciences (Version 1.0.7)
2017
ImputeRobust : Robust Multiple Imputation with Generalized Additive Models for Location Scale and Shape (Version 1.3-1)
2017
emmeans : Estimated Marginal Means, aka Least-Squares Means (Version 1.10.7)
2017
ggeffects : Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 2.2.0)
2017
mdmb : Model Based Treatment of Missing Data (Version 1.9-22)
2017
metavcov : Computing Variances and Covariances, Visualization and Missing Data Solution for Multivariate Meta-Analysis (Version 2.1.5)
2017
micemd : Multiple Imputation by Chained Equations with Multilevel Data (Version 1.10.0)
2017
JWileymisc : Miscellaneous Utilities and Functions (Version 1.4.1)
2016
LSAmitR : Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R' (Version 1.0-3)
2016
Qtools : Utilities for Quantiles (Version 1.5.9)
2016
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
cobalt : Covariate Balance Tables and Plots (Version 4.5.5)
2016
dynr : Dynamic Models with Regime-Switching (Version 0.1.16-105)
2016
idem : Inference in Randomized Controlled Trials with Death and Missingness (Version 5.2)
2016
midastouch : Multiple Imputation by Distance Aided Donor Selection (Version 1.3)
2016
pre : Prediction Rule Ensembles (Version 1.0.7)
2016
brms : Bayesian Regression Models using 'Stan' (Version 2.22.0)
2015
mitml : Tools for Multiple Imputation in Multilevel Modeling (Version 0.4-5)
2015
sjmisc : Data and Variable Transformation Functions (Version 2.8.10)
2015
HSAUR3 : A Handbook of Statistical Analyses Using R (3rd Edition) (Version 1.0-15)
2014
cati : Community Assembly by Traits: Individuals and Beyond (Version 0.99.4)
2014
hot.deck : Multiple Hot Deck Imputation (Version 1.2)
2014
medflex : Flexible Mediation Analysis Using Natural Effect Models (Version 0.6-10)
2014
miceadds : Some Additional Multiple Imputation Functions, Especially for 'mice' (Version 3.17-44)
2014
CALIBERrfimpute : Multiple Imputation Using MICE and Random Forest (Version 1.0-7)
2013
rattle : Graphical User Interface for Data Science in R (Version 5.5.1)
2013
lavaan.survey : Complex Survey Structural Equation Modeling (SEM) (Version 1.1.3.1)
2012
semTools : Useful Tools for Structural Equation Modeling (Version 0.5-6)
2012
weights : Weighting and Weighted Statistics (Version 1.0.4)
2011
missMDA : Handling Missing Values with Multivariate Data Analysis (Version 1.19)
2010
metafor : Meta-Analysis Package for R (Version 4.8-0)
2009
rms : Regression Modeling Strategies (Version 7.0-0)
2009
BaM : Functions and Datasets for "Bayesian Methods: A Social and Behavioral Sciences Approach" (Version 1.0.3)
2008
HardyWeinberg : Statistical Tests and Graphics for Hardy-Weinberg Equilibrium (Version 1.7.8)
2007
Hmisc : Harrell Miscellaneous (Version 5.2-2)
2003
logistf : Firth's Bias-Reduced Logistic Regression (Version 1.26.0)
2003
Showing 1-135 of 135
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.
Verify/Update your account
