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
bucky : Bucky's Archive for Data Analysis in the Social Sciences (Version 1.0.7)
2017
NADIA : NA Data Imputation Algorithms (Version 0.4.2)
2020
BGGM : Bayesian Gaussian Graphical Models (Version 2.1.5)
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
CIMPLE : Analysis of Longitudinal Electronic Health Record (EHR) Data with Possibly Informative Observational Time (Version 0.1.0)
2024
FLAME : Interpretable Matching for Causal Inference (Version 2.1.1)
2018
HSAUR3 : A Handbook of Statistical Analyses Using R (3rd Edition) (Version 1.0-15)
2014
HardyWeinberg : Statistical Tests and Graphics for Hardy-Weinberg Equilibrium (Version 1.7.8)
2007
Hmisc : Harrell Miscellaneous (Version 5.2-3)
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 1.4.3)
2016
LMMstar : Repeated Measurement Models for Discrete Times (Version 1.1.0)
2021
LSAmitR : Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R' (Version 1.0-3)
2016
MIGEE : Impute Missing Values and Fitting Linear Mixed Effect Model (Version 0.1.0)
2024
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 3.0.4)
2021
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
RSquaredMI : R-Squared with Multiply Imputed Data (Version 0.2.0)
2024
RefBasedMI : Reference-Based Imputation for Longitudinal Clinical Trials with Protocol Deviation (Version 0.2.0)
2023
RfEmpImp : Multiple Imputation using Chained Random Forests (Version 2.1.8)
2020
RulesTools : Preparing, Analyzing, and Visualizing Association Rules (Version 0.1.1)
2025
SBMTrees : Sequential Imputation with Bayesian Trees Mixed-Effects Models for Longitudinal Data (Version 1.2)
2024
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 0.11.2)
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 1.2.2)
2019
brms : Bayesian Regression Models using 'Stan' (Version 2.22.0)
2015
brokenstick : Broken Stick Model for Irregular Longitudinal Data (Version 2.6.0)
2020
broom.helpers : Helpers for Model Coefficients Tibbles (Version 1.20.0)
2020
cati : Community Assembly by Traits: Individuals and Beyond (Version 0.99.4)
2014
clusterMI : Cluster Analysis with Missing Values by Multiple Imputation (Version 1.5)
2024
cmahalanobis : Calculate Distance Measures for a Given List of Data Frames with Factors (Version 0.5.0)
2024
cobalt : Covariate Balance Tables and Plots (Version 4.6.0)
2016
dlookr : Tools for Data Diagnosis, Exploration, Transformation (Version 0.6.3)
2018
dynamite : Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data (Version 1.5.6)
2022
dynr : Dynamic Models with Regime-Switching (Version 0.1.16-105)
2016
eatRep : Educational Assessment Tools for Replication Methods (Version 0.15.1)
2021
emmeans : Estimated Marginal Means, aka Least-Squares Means (Version 1.11.0)
2017
fastml : Fast Machine Learning Model Training and Evaluation (Version 0.5.0)
2024
finalfit : Quickly Create Elegant Regression Results Tables and Plots when Modelling (Version 1.0.8)
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
ggeffects : Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 2.2.1)
2017
ggmice : Visualizations for 'mice' with 'ggplot2' (Version 0.1.0)
2022
gtsummary : Presentation-Ready Data Summary and Analytic Result Tables (Version 2.2.0)
2019
hhsmm : Hidden Hybrid Markov/Semi-Markov Model Fitting (Version 0.4.2)
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 1.1.0)
2019
intmed : Mediation Analysis using Interventional Effects (Version 0.1.2)
2020
joinet : Penalised Multivariate Regression ('Multi-Target Learning') (Version 1.0.0)
2019
konfound : Quantify the Robustness of Causal Inferences (Version 1.0.2)
2018
logistf : Firth's Bias-Reduced Logistic Regression (Version 1.26.1)
2003
manymome : Mediation, Moderation and Moderated-Mediation After Model Fitting (Version 0.2.7)
2022
marginaleffects : Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.25.1)
2021
mdmb : Model Based Treatment of Missing Data (Version 1.9-22)
2017
medflex : Flexible Mediation Analysis Using Natural Effect Models (Version 0.6-10)
2014
metafor : Meta-Analysis Package for R (Version 4.8-0)
2009
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 1.2)
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 0.8.5)
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 1.14.0)
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 1.0.2)
2023
midoc : A Decision-Making System for Multiple Imputation (Version 1.0.0)
2024
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
misty : Miscellaneous Functions 'T. Yanagida' (Version 0.7.1)
2020
mitml : Tools for Multiple Imputation in Multilevel Modeling (Version 0.4-5)
2015
mixgb : Multiple Imputation Through 'XGBoost' (Version 1.5.3)
2022
mlim : Single and Multiple Imputation with Automated Machine Learning (Version 0.3.0)
2022
modelsummary : Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready (Version 2.3.0)
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
mvs : Methods for High-Dimensional Multi-View Learning (Version 2.1.0)
2023
nncc : Nearest Neighbors Matching of Case-Control Data (Version 2.0.0)
2022
ordbetareg : Ordered Beta Regression Models with 'brms' (Version 0.8)
2022
parameters : Processing of Model Parameters (Version 0.24.2)
2019
pema : Penalized Meta-Analysis (Version 0.1.4)
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 2.18.4)
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
rms : Regression Modeling Strategies (Version 8.0-0)
2009
rmsb : Bayesian Regression Modeling Strategies (Version 1.1-2)
2020
rqlm : Modified Poisson and Least-Squares Regressions for Binary Outcome and Their Generalizations (Version 2.3-1)
2024
semTools : Useful Tools for Structural Equation Modeling (Version 0.5-7)
2012
semmcci : Monte Carlo Confidence Intervals in Structural Equation Modeling (Version 1.1.4)
2022
seqimpute : Imputation of Missing Data in Sequence Analysis (Version 2.2.0)
2022
shapeNA : M-Estimation of Shape for Data with Missing Values (Version 0.0.2)
2021
sjmisc : Data and Variable Transformation Functions (Version 2.8.10)
2015
smdi : Perform Structural Missing Data Investigations (Version 0.3.1)
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
tidySEM : Tidy Structural Equation Modeling (Version 0.2.8)
2020
vsmi : Variable Selection for Multiple Imputed Data (Version 0.1.0)
2024
weights : Weighting and Weighted Statistics (Version 1.0.4)
2011
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