Conditional Akaike Information Criterion for 'lme4' and 'nlme'
Analysis of Overdispersed Data
Censored Mixed-Effects Models with Different Correlation Structures
Bootstrap p-Values
Data Files and Functions Accompanying the Book "Bayesian Data Analysis...
Easy Access to Model Information for Various Model Objects
MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data
Constrained Inference for Linear Mixed Effects Models
Doubly Robust Inverse Probability Weighted Augmented GEE Estimator
Double Hierarchical Generalized Linear Models
Panels and Interactive Versions of Diagnostic Plots using 'ggplot2'
'R' Bindings for 'TMB'
GEE Solver for Correlated Nominal or Ordinal Multinomial Responses
Easy Analysis and Visualization of Factorial Experiments
Simulation for Factorial Designs
Data sets from "SAS System for Mixed Models"
Generalized Additive Mixed Models using 'mgcv' and 'lme4'
Solve Generalized Estimating Equations
Modified Variance Estimators for Generalized Estimating Equations
Support Functions and Datasets for Venables and Ripley's MASS
Variable Selection in Linear Mixed Models for SNP Data
Generalized Linear Mixed Models via Monte Carlo Likelihood Approximati...
Generalized Linear Mixed Model Analysis via Expectation Propagation
Generalized Linear Mixed Models with Robust Random Fields for Spatiote...
Variable Selection for Generalized Linear Mixed Models by L1-Penalized...
Model Selection and Multimodel Inference Made Easy
Multilevel and Mixed Effects Model Diagnostics and Effect Sizes
Hierarchical Generalized Linear Models
Tools for Detecting Influential Data in Mixed Effects Models
Case Influence in Structural Equation Models
Phylogenetics for the Environmental Sciences
Joint Analysis and Imputation of Incomplete Data
Pedigree Functions
Computes R Squared for Mixed (Multilevel) Models
Information Matrices for 'lmeStruct' and 'glsStruct' Objects
Model Selection and Post-Hoc Analysis for (G)LMER Models
Bootstrap Methods for Nested Linear Mixed-Effects Models
Tests in Linear Mixed Effects Models
Add Smoothing Spline Modelling Capability to nlme
Parallel Linear Mixed Model
Sample Size Calculations for Longitudinal Data
Linear Quantile Mixed Models
Repeatability Estimation for Gaussian and Non-Gaussian Data
Moment-Based Estimation for Hierarchical Models
Multinomial Logit Models, with or without Random Effects or Overdisper...
Bayesian Analysis of qRT-PCR Data
Multivariate Double Hierarchical Generalized Linear Models
Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models
Bayesian Latent Variable Analysis
Estimation Methods for Stochastic Differential Mixed Effects Models
Mixed Model ANOVA and Statistics for Education
Examples from Multilevel Modelling Software Review
Model Wrappers for Multi-Level Models
Multivariate Variance Components Tests for Multilevel Data
Multivariate Generalized Linear Mixed Models for Ranking Sports Teams
Nonlinear Mixed Effects Models in Population PK/PD, Data
Functions and Data Supporting 'Linear Mixed-Effects Models: A Step-by-...
Generalized Laplace Mixed-Effects Models
Power Analysis for Generalised Linear Mixed Models by Simulation
Multiple Imputation for Multivariate Panel or Clustered Data
Partitioning R2 in GLMMs
Power and Sample Size for Linear Mixed Effect Models
Pedigree-Based Mixed-Effects Models
Perform Pharmacokinetic Non-Compartmental Analysis
Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Bayesian Applied Regression Modeling via Stan
Bayesian Graphical Models using MCMC
Robust Linear Mixed Effects Models
Ridge Regression and Other Kernels for Genomic Selection
Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likeliho...
Estimate Structured Additive Regression Models with 'BayesX'
MCMC Sampling from 'TMB' Model Object using 'Stan'
Tools for Mapping of Quantitative Traits of Genetically Related Indivi...
Bayesian Latent Gaussian Modelling using INLA and Extensions
Variational Inference for Hierarchical Generalized Linear Models
Gaussian Linear Models with Linear Covariance Structure
Generalized Linear Mixed Model (GLMM) for Binary Randomized Response D...
Regression Estimation and Presentation
Stepwise Elimination and Term Reordering for Mixed-Effects Regression
Structural Equation Models
Exact (Restricted) Likelihood Ratio Tests for Mixed and Additive Model...
Diagnostic Tools for Hierarchical (Multilevel) Linear Models
An R Package for Facilitating Large-Scale Latent Variable Analyses in ...
Spatial Methods and Indices
Running OpenBUGS from R
Estimate Quantitative Genetics Parameters from Generalised Linear Mixe...
Linear Mixed Models - An Introduction with Applications in Veterinary ...
Robust Bayesian Linear Mixed-Effects Models using ABC
Marginal Mediation
Multilevel Model Intraclass Correlation for Slope Heterogeneity
Compound Poisson Linear Models
Tools for Analyzing Mixed Effect Regression Models
Generalised Linear Mixed Models in R
Power and Sample Size Calculation for Bulk Tissue and Single-Cell eQTL...
Variance Components Testing for Linear and Nonlinear Mixed Effects Mod...
R2s for Regression Models
Scale Mixture of Skew-Normal Linear Mixed Models
Multi-Level Model Assessment Kit
Simultaneous Penalized Linear Mixed Effects Models
Bayesian Regression Models using 'Stan'
Model Based Phylogenetic Analysis
Generalized Additive Latent and Mixed Models
Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Piecewise Structural Equation Modeling
Latent Variable Analysis
Generalized Estimating Equation Package
Processing of Model Parameters
Generalized Estimation Equation Solver
R Codes and Datasets for Generalized Linear Mixed Models: Modern Conce...
Multilevel/Mixed Model Helper Functions
R Interface to Stan
Template Model Builder: A General Random Effect Tool Inspired by 'ADMB...
MCMC Generalised Linear Mixed Models
Companion to Applied Regression
Dot-and-Whisker Plots of Regression Results
Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods fo...
Non-Normal Repeated Measurements Models
Ordered Beta Regression Models with 'brms'
Quantile Regression for Nonlinear Mixed-Effects Models
Quantile Regression for Linear Mixed-Effects Models
Population (and Individual) Optimal Experimental Design
Bayesian Generalized Linear Regression
Model Based Treatment of Missing Data
Association Between Methylation and a Phenotype of Interest
Use 'nlmixr2' to Interact with Open Source and Commercial Software
Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
Set of Tools to Data Analysis using Generalized Linear Models
Simulate from ODE-Based Models
Using R to Run 'JAGS'
Tidying Methods for Mixed Models
Marginal Effects for Model Objects
Regression Models for Ordinal Data
Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression...
Tools for Performing Pharmacokinetic-Pharmacodynamic Simulations
Box-Cox-Type Transformations for Linear and Logistic Models with Rando...
Mixed Effects Cox Models
Data Sets and Functions with Analyzing Linguistic Data: A Practical In...
Mixed Models for Repeated Measures
Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Ou...
Analysis of Factorial Experiments
Summary Tables and Plots for Statistical Models and Data: Beautiful, C...
Generalized Linear Mixed Model Trees
Analysis of Overdispersed Data using S3 Methods
Bayesian Linear Mixed-Effects Models
Data Visualization for Statistics in Social Science
Generalized Linear Mixed Models using Adaptive Gaussian Quadrature
Confidence Intervals for Robust and Classical Linear Mixed Model Estim...
Estimation of Spatial Autoregressive Models with and without Heteroske...
Generalised Linear Mixed Model Selection
Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Correc...
Multi-Model Inference
Linear Models for Panel Data
Mixed-Effect Models, with or without Spatial Random Effects
Mixed Effect Model with the Box-Cox Transformation
Assessment of Regression Models Performance
Testing and Plotting Procedures for Biostatistics
Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in ...
Effect Displays for Linear, Generalized Linear, and Other Models
Estimated Marginal Means, aka Least-Squares Means
Generalized Additive Models for Location Scale and Shape
Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Easily Create and Style Tables for LaTeX, HTML and Other Formats
Nonlinear Mixed Effects Models in Population PK/PD
Facilities for Simulating from ODE-Based Models
Stochastic Approximation Expectation Maximization (SAEM) Algorithm
Recursive Partitioning for Structural Equation Models
Solving Mixed Model Equations in R
Bayesian Inference for Beta Regression and Zero-or-One Inflated Beta R...