Pinned Repositories
academics-on-mastodon
A list of various lists consisting of academics on Mastodon
bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
broom.mixed
tidy methods for mixed models in R
circus
:circus_tent: Contains a variety of fitted models to help the systematic testing of other packages
ggeffects
Tidy Data Frames of Marginal Effects for ggplot2
insight
:crystal_ball: Easy access to model information for various model objects
marginaleffects
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 75 classes of statistical models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference.
MplusAutomation
The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
sjstats
Statistical Functions for Regression Models
tidybayes
Bayesian analysis + tidy data + geoms (R package)
sam-crawley's Repositories
sam-crawley/academics-on-mastodon
A list of various lists consisting of academics on Mastodon
sam-crawley/bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
sam-crawley/broom.mixed
tidy methods for mixed models in R
sam-crawley/circus
:circus_tent: Contains a variety of fitted models to help the systematic testing of other packages
sam-crawley/ggeffects
Tidy Data Frames of Marginal Effects for ggplot2
sam-crawley/insight
:crystal_ball: Easy access to model information for various model objects
sam-crawley/marginaleffects
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 75 classes of statistical models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference.
sam-crawley/MplusAutomation
The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
sam-crawley/sjstats
Statistical Functions for Regression Models
sam-crawley/tidybayes
Bayesian analysis + tidy data + geoms (R package)