This package contains some regression vignettes and R functions for regression diagnostics.
You can install the released version of appregr with:
install.packages("remotes")
remotes::install_github("brucebcampbell/appregr")This is a basic example which shows you how to get the leverage of a linear model:
high.leverage <- appregr::checkleverage(lm.fit,df)
pander(high.leverage, caption = "High Leverage Data Elements")Check for outliers:
resutls<- appregr::checkoutliers(lm.fit = lm.fit,df = df)
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TravisCI has trouble building the rstan and rstanarm libraries. Also the vignettes for the Bayesian models take a long time to build which can couse a timeout with travis. For those reasons we've removed the gh-pages deploy of the documentation. This is the travis yaml that was redacted.
before_install:
- Rscript -e 'install.packages(c("bayesm","lattice","lme4","lmtest","R2jags","bayesplot","caret","GGally","ggplot2","hexbin","latex2exp","papeR","parallel","rstan","rstanarm"," sandwich","sqldf","coda"),dependencies = TRUE)'
after_success:
- Rscript -e 'pkgdown::build_site()'
deploy:
provider: pages
skip_cleanup: true
github_token: $GITHUB_TOKEN # Set in the settings page of your repository, as a secure variable
local_dir: "docs"
keep_history: true
on:
branch: master