GLMpack (version 0.1.0)

Data and Code to Accompany Generalized Linear Models, 2nd Edition

Description

Contains all the data and functions used in Generalized Linear Models, 2nd edition, by Jeff Gill and Michelle Torres. Examples to create all models, tables, and plots are included for each data set.

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Version

Install

install.packages('GLMpack')

Monthly Downloads

144

Version

0.1.0

License

GPL (>= 3)

Maintainer

Michelle Torres

Last Published

July 19th, 2019

Functions in GLMpack (0.1.0)

peace

Data on the characteristics of peace agreement outcomes

mexico

Data on Mexico from the Mexican Family Life Survey

primary

Data on the 2016 Republican Presidentical Primaries

star

Data on California state data on educational policy and outcomes

scotvote

Data on the Scottish national parliament vote

suicide

Data on suicides in 2009 in OECD member states

corruption

Data on censored corruption scale

glm.summary

Summarize regression output from generalized linear models.

glm.cis

Compute confidence intervals for predictions.

glm.summary.multinom

Summarize regression output from multinomial generalized linear models.

glm.vc

Compute variance-covariance matrix.

committee

Data on bills assigned to House committees in the 103rd and 104th Houses of Representatives

Data on capital punishment

africa

Data on inflation increase in Africa

campaign

Data on campaign contributions in California in the 2014 House elections