Package: api2lm 0.2.1

api2lm: Functions and Data Sets for the Book "A Progressive Introduction to Linear Models"

A lightweight package supporting aspects of linear regression analysis such as simultaneous inference and diagnostics. Additionally, supports "A Progressive Introduction to Linear Models" by Joshua French (<https://jfrench.github.io/LinearRegression/>).

Authors:Joshua P. French

api2lm_0.2.1.tar.gz
api2lm_0.2.1.zip(r-4.7)api2lm_0.2.1.zip(r-4.6)api2lm_0.2.1.zip(r-4.5)
api2lm_0.2.1.tgz(r-4.6-any)api2lm_0.2.1.tgz(r-4.5-any)
api2lm_0.2.1.tar.gz(r-4.7-any)api2lm_0.2.1.tar.gz(r-4.6-any)
api2lm_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
api2lm/json (API)

# Install 'api2lm' in R:
install.packages('api2lm', repos = c('https://jfrench.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jfrench/api2lm/issues

Datasets:

On CRAN:

Conda:

4.51 score 1 stars 32 scripts 270 downloads 32 exports 0 dependencies

Last updated from:fa576112df. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK138
source / vignettesOK176
linux-release-x86_64OK130
macos-release-arm64OK94
macos-oldrel-arm64OK80
windows-develOK92
windows-releaseOK92
windows-oldrelOK88
wasm-releaseOK83

Exports:auto_mfrowautoplot.confint_adjustcoef_comparecoef_matrixconfint_adjustcooks_plotcooks_statscooks_testcor_statsdfbeta_plotdfbetas_plotdffits_plotdffits_statsdffits_testformat_perc_api2lmget_residualsindex_plot_lminfluence_plotinfluence_statsleverage_plotleverage_statsleverage_testoutlier_plotoutlier_statsoutlier_testpredict_adjustrdeletedresidual_plotrjackkniferloosl_plotvif_stats

Dependencies:

Influential Observations Diagnostics
home_sales data | Outliers | Leverage Points | Influential Observations | DFBETA and DFBETAS | DFFITS | Cook's Distance | Influence plots | References
Rendered frominfluential-observations-diagnostics.Rmdusingknitr::rmarkdown

Last update: 2023-06-08
Started: 2023-06-08

Simultaneous Inference
Confidence for regression coefficients | Confidence intervals for response mean | Prediction intervals for a new response
Rendered fromsimultaneous-inference.Rmdusingknitr::rmarkdown

Last update: 2022-09-23
Started: 2022-09-23

Readme and manuals

Help Manual

Help pageTopics
Check arguments of 'leverage_test'arg_check_leverage_test
Plot 'confint_adjust' objectautoplot.confint_adjust
Compare coefficients of 2 modelscoef_compare
Return coefficient matrixcoef_matrix
Adjust confidence intervals for multiple comparisonsconfint_adjust
Index plot of Cook's distances for 'lm' objectcooks_plot
Cook's statisticscooks_stats
Identify influential observationscooks_test
Compute correlation matrixcor_stats print.cor_stats
2009 Crime Datacrime2009
dfbeta index plotsdfbeta_plot
dfbetas index plotsdfbetas_plot
Index plot of DFFITS values for 'lm' objectdffits_plot
DFFITS statisticsdffits_stats
Identify influential observationsdffits_test
Dwaine Studios datadwaine
Extract residuals from a modelget_residuals
Home sale prices in King County, WAhome_sales
Index plot of statistics from of an 'lm' objectindex_plot_lm
Index plot helper functionindex_plot_raw
Influence plotsinfluence_plot
Influence statisticsinfluence_stats
Index plot of leverage values for 'lm' objectleverage_plot
Leverage statisticsleverage_stats
Identify leverage pointsleverage_test
Index plot of studentized residuals for 'lm' objectoutlier_plot
Outlier statisticsoutlier_stats
Identify outliersoutlier_test
Plot 'confint_adjust' xplot.confint_adjust
Adjust prediction intervals for multiple comparisonspredict_adjust
Print an object of class 'coef_matrix' produced by the 'coef_matrix' function.print.coef_matrix
Print 'confint_adjust' objectprint.confint_adjust
Print 'predict_adjust' objectprint.predict_adjust
Plot residuals of a fitted modelresidual_plot
Plot residuals of a fitted 'lm' objectresidual_plot.lm
Compute leave-one-out residualsrdeleted rjackknife rloo
Compute leave-one-out residuals for `lm` objects.rdeleted.lm rjackknife.lm rloo.lm
Helper function for residuals_plot.lmrplot_raw
Spread-level plot of a fitted modelsl_plot
Spread-level plot for 'lm' objectsl_plot.lm
Summarize 'cor_stats' objectprint.cor_stats_summary summary.cor_stats
Toluca Company datatoluca
Compute variance inflation factorsvif_stats