- [[make R packages]] - [[R language]] - [easystats](https://easystats.github.io/blog/portfolio/) # To explore further - modelsummary (summary) - gt (tables) # Tutorials - [R Tutorials and Workshops](https://www.flutterbys.com.au/stats/course.html) - great resources/course for GLM, statistics, etc. # Exploratory analysis - [inspectdf](https://alastairrushworth.github.io/inspectdf/) - [different tools to explre data](https://www.littlemissdata.com/blog/simple-eda) - [skimr](https://docs.ropensci.org/skimr/) - [GGally](https://ggobi.github.io/ggally/index.html) - [GitHub - daattali/ggExtra: 📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements](https://github.com/daattali/ggExtra) # Statistical models - fixest: fixed-effects models and instrumental variable regressions - bnlearn: DAGs and Bayesian networks # Summarize statistical models - [modelsummary](https://vincentarelbundock.github.io/modelsummary/) - [marginaleffects](https://vincentarelbundock.github.io/marginaleffects/index.html) - [gtsummary](https://www.danieldsjoberg.com/gtsummary/index.html) - [table1](https://github.com/benjaminrich/table1) - performance - [modelbased](https://easystats.github.io/modelbased/articles/visualisation_matrix.html) - [correlation](https://easystats.github.io/correlation/) - [Correlations in R • corrr](https://corrr.tidymodels.org/) - [broomExtra](https://indrajeetpatil.github.io/broomExtra/reference/index.html) # Plotting text labels - [ggrepel](https://ggrepel.slowkow.com/articles/examples.html) # Bayesian analyses - brms - summarize output - [Understand and Describe Bayesian Models and Posterior Distributions • bayestestR](https://easystats.github.io/bayestestR/index.html) - modelsummary - [tidybayes](https://mjskay.github.io/tidybayes/articles/tidy-brms.html) - Bayes factors - [BFpack](https://cran.r-project.org/web/packages/BFpack/vignettes/vignette_BFpack.html) - [bain](https://cran.r-project.org/web/packages/bain/vignettes/Introduction_to_bain.html) - [BayesFactor](https://cran.r-project.org/web/packages/BayesFactor/vignettes/manual.html) - [bayestestR](https://easystats.github.io/bayestestR/) - meta-analysis - brms - bmeta - metaBMA - bayesmeta - plotting - [Tidy Data and Geoms for Bayesian Models • tidybayes](https://mjskay.github.io/tidybayes/index.html) # Matching algorithms - [GitHub - kosukeimai/MatchIt: R package MatchIt](https://github.com/kosukeimai/MatchIt) - [CRAN - Package MatchIt](https://cran.r-project.org/web/packages/MatchIt/index.html) - [GitHub - JasjeetSekhon/Matching](https://github.com/JasjeetSekhon/Matching) # Power analysis/simulations - simr - Superpower - [Chapter 2 The Experimental Design | Power Analysis with Superpower](https://aaroncaldwell.us/SuperpowerBook/the-experimental-design.html) # Variance estimators for linear models - [CRAN - Package plm](https://cran.r-project.org/web/packages/plm/index.html) - `fixest`, `lfe`, `sandwich` - [r - Double clustered standard errors for panel data - Stack Overflow](https://stackoverflow.com/questions/8389843/double-clustered-standard-errors-for-panel-data) - [sandwich: Robust Covariance Matrix Estimators • sandwich](http://sandwich.r-forge.r-project.org/articles/sandwich.html) - note that `multiwayvcov` package has been deprecated in favor of `sandwich`^[[Nathaniel P Graham - Code](https://sites.google.com/site/npgraham1/research/code)] # drift diffusion model - [GitHub - rtdists/fddm: Fast Implementations of the Diffusion Decision Model's PDF](https://github.com/rtdists/fddm) # meta-analysis - [[Harrer 2022 doing meta-analysis with R]] - metafor - dmeta ([Welcome! | Doing Meta-Analysis in R](https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/)) - bayesmeta - roBMA ([How to perform a Bayesian meta-analysis](https://www.dsquintana.blog/how-to-perform-a-bayesian-meta-analysis-in-r/)) - [Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis • metaBMA](https://danheck.github.io/metaBMA/)