35 skills found · Page 1 of 2
lme4 / Lme4Mixed-effects models in R using S4 classes and methods with RcppEigen
ejolly / Pymer4All the convenience of lme4 in python
m-clark / Mixed Models With RCovers the basics of mixed models, mostly using @lme4
Pakillo / LM GLM GLMM IntroA unified framework for data analysis with GLM/GLMM in R
jthaman / CiToolsAn R Package for Quick Uncertainty Intervals
jknowles / MerToolsConvenience functions for working with merMod objects from lme4
m-clark / MixedupAn R package for extracting results from mixed models that are easy to use and viable for presentation.
rmcelreath / Glmer2stanDefine Stan models using glmer-style (lme4) formulas
variani / Lme4qtlMixed models @lme4 + custom covariances + parameter constraints
zikrach / Price Optimization ShinyShiny app for Price Optimization using prophet and lme4 libraries for R.
strengejacke / Mixed Models SnippetsThis repository collects various small code snippets or short instructions on how to use or define specific mixed models, mostly with packages lme4 and glmmTMB.
lme4 / Lme4pureRA pure R implementation of the numerical steps in lmer and glmer
m-clark / Mixed Models With R Workshop 2019Workshop on using Mixed Models with R
jvparidon / LmerMultiMemberMultiple membership random effects. Wrapper around lme4::lmer and lme4::glmer.
hollyyfc / Lme4uR Package | Interpretation and Diagnostics for 'lme4' Hierarchical Models
perpdgo / Lme4GSlme4 for Genomic Selection
SchmidtPaul / MMFAIR:chart_with_upwards_trend::seedling: Mixed Models for Agriculture in R
fcorowe / Countdata ModellingQuick Guide for Modelling Count Data in A Multilevel Framework
m-clark / GammitFunctions for using mgcv for mixed models. 📈
covaruber / Lme4breedingNo description available
