strengejacke

sjPlot

sjPlot - Data Visualization for Statistics in Social Science

ggeffects

Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2

sjstats

Statistical Functions for Regression Models

sjmisc

Data transformation and utility functions for R

sjlabelled

Working with Labelled Data in R

mixed-models-snippets

This repository collects various small code snippets or short instructions on how to use or define specific mixed models, mostly with packages lme4 and glmmTMB.

strengejacke

Wrapper to quickly load the sj-packages.

esc

Effect Size Computation for Meta Analysis

paper-code

Repository containing the R-code used in analyses for publications.

regressionmodels

Overview of modelling strategies and packages. Which model do I need for my data?

brms-snippets

A collection of small code snippets, mostly for brms

Corona-19-shiny

Visualization of confirmed and recovered Corona cases, data from https://github.com/CSSEGISandData/COVID-19

forgettable

Consistent re-implementation of useful functions where you forgot how to use them

RKurs

Übungsaufgaben für den PhD-Workshop "R Statistics and Tidy Data"

cvms

R Package: Cross-validate one or multiple gaussian or binomial regression models at once. Perform repeated cross-validation. Returns results in a tibble for easy comparison, reporting and further analysis.

UKEtemplate

Rmarkdown template for presentation

vsCodeSnippets

faux

R functions for simulating factorial datasets

causal_salad_2021

One day course on causal inference, MPI-EVA 9 September 2021

GLMMadaptive_presentations

Presentations for the GLMMadaptive package

glmmTMB

glmmTMB

iterake

Create weights with iterative raking.

marginaleffects

An R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds ratios, etc.) for over 70 classes of statistical models in R. Conduct linear and non-linear hypothesis tests, as well as equivalence tests using the delta method.

meta-workshop

MixedModels

CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R

strengejacke.r-universe.dev

binaries to install from r-universe