README.md

In brucebcampbell/appregr: Demonstrates Regression Workflow and Diagnostics

appregr

This package contains some regression vignettes and R functions for regression diagnostics.

Installation

You can install the released version of appregr with:

install.packages("remotes")
remotes::install_github("brucebcampbell/appregr")

Example

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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Devops Notes

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

```

brucebcampbell/appregr documentation built on Sept. 2, 2021, 5:40 a.m.