ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
-
Updated
Dec 23, 2024 - R
#
random-effects
Here are 20 public repositories matching this topic...
Covers the basics of mixed models, mostly using @lme4
r multilevel-models brms linear-mixed-models covariance variance-components mixed-models random-effects lme4 hierarchical-linear-models random-intercepts random-slopes generalized-linear-mixed-models crossed-random-effects nested-random-effects nlme glmmtmb
-
Updated
Jan 30, 2022 - R
Testing differences in cell type proportions from single-cell data.
composition bayesian microbiome r-package single-cell cytof random-effects multilevel proportions batch-correction unwanted-variation differential-proportion
-
Updated
Dec 18, 2024 - R
A document introducing generalized additive models.📈
-
Updated
Jan 15, 2024 - R
An R package for extracting results from mixed models that are easy to use and viable for presentation.
-
Updated
Oct 11, 2022 - R
👓 Functions related to R visualizations
visualization r heatmap gam stan brms r-package palettes mixed-models ggplot2-themes mgcv random-effects plotly-theme adjacent coefficients complementary colorgorical triadic tetradic mermod
-
Updated
Oct 28, 2020 - R
Mixed models @lme4 + custom covariances + parameter constraints
-
Updated
Jan 7, 2021 - R
Workshop on using Mixed Models with R
-
Updated
Feb 7, 2019 - R
Demonstration of alternatives to lme4
-
Updated
Aug 12, 2019 - R
Functions for using mgcv for mixed models. 📈
-
Updated
Oct 20, 2020 - R
Illustrate CR models with individual heterogeneity (multistate, random-effect, finite-mixture)
-
Updated
Nov 17, 2016 - R
Using Fixed Effect, Random Effect and Hausman Taylor IV to estimate the impacts on wage
-
Updated
Feb 16, 2018 - R
An R package for I-prior regression
functional kernel space regression hilbert rkhs gaussian-processes random-effects multilevel priors gpr longitudinal fisher-information reproducing krein rkks
-
Updated
Apr 1, 2024 - R
Stata and R programs to automatically quasi-demean regressors following FGLS-RE or MLE-RE regression
-
Updated
May 31, 2024 - R
a meta-analysis on the effect of intravenous magnesium on myocardial infarction
-
Updated
Jul 5, 2018 - R
Raw files for a document providing an overview of mixed models from varying perspectives.
-
Updated
Nov 24, 2017 - R
Cluster-specific logistic regression models for whether an NBA team will make the playoffs given the current statistics of that team. Specifically uses population averaged models (PA) based on generalized estimating equations (GEE); Also, uses cluster-specific (each team) random effects models
nba r rstudio logistic-regression gee random-effects likelihood-ratio-test intraclass-correlation cluster-modeling generalized-estimating-equations random-effects-model pupulation-averaged-model nba-playoffs
-
Updated
Dec 17, 2018 - R
Monte Carlo Simulation comparing the performance of various estimators for panel data with binary dependent variable models
-
Updated
Sep 21, 2021 - R
Fit band-recovery models with temporal random effects
-
Updated
Aug 7, 2020 - R
Pitch Adjusted Swipe Rate Above Average (pSRAA)
-
Updated
Jul 30, 2017 - R
Improve this page
Add a description, image, and links to the random-effects topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the random-effects topic, visit your repo's landing page and select "manage topics."