brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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Updated
Sep 18, 2025 - R
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Umbrella package of the 'spatstat' family................
📊 Computation and processing of models' parameters
Latent Class Trajectory Models: An R Package
sub-package of spatstat containing core functionality for data analysis and modelling
A set of shiny demos for teaching statistical modelling
Miscellaneous Esoteric Statistical Scripts - an R package
Archived version of RUVSeq
simstudy: Illuminating research methods through data generation
statespacer: State Space Modelling in R
gnm package for generalized nonlinear models in R
This Repository contains materials to learn mixed models, dissect it to extract BLUEs and BLUPs
Analyzing and Visualizing Human Mobility Data in R
Advanced non-stationary Z-measures with bias reduction for estimating bank insolvency risks
Adjusted Plus Minus Models for WNBA players from the 2019 season. Adjusted Plus Minus (APM) and Regularized Adjusted Plus Minus (RAPM) models were fit providing an all in one player value metric for the WNBA.
2024 BreedWheat Genomic Selection pipeline
Dynamic Generation and Quality Checks of Formula Objects
Predicting PO-SCORAD severity score for eczema using EczemaPred
Data science with R: predicting car insurance conversion rate and engine part failure rates (binary classification)
Basic building blocks in Bayesian statistics.
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