Package: msme 0.5.3

Andrew Robinson

msme: Functions and Datasets for "Methods of Statistical Model Estimation"

Functions and datasets from Hilbe, J.M., and Robinson, A.P. 2013. Methods of Statistical Model Estimation. Chapman & Hall / CRC.

Authors:Joseph Hilbe and Andrew Robinson

# Install 'msme' in R:

install.packages('msme', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 7 years agofrom:e9f7649fc5. Checks:OK: 1 NOTE: 1. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 09 2024
R-4.5-linux	NOTE	Sep 09 2024

Dependencies:lattice MASS

Help page	Topics
Function to compute asymptotic likelihood ratio test of two models.	alrt
Physician smoking and mortality count data	doll
Function to return the hat matrix of a msme-class model.	hatvalues.msme
Heart surgery outcomes for Canadian patients	heart
Function to fit generalized linear models using IRLS.	irls
US national Medicare inpatient hospital database for Arizona patients.	medpar
Function to fit linear regression using maximum likelihood.	ml_g
A function to fit generalized linear models using maximum likelihood.	ml_glm
A function to fit generalized linear models using maximum likelihood.	ml_glm2
A reduced maximum likelihood fitting function that omits null models.	ml_glm3
A function to fit negative binomial generalized linear models using maximum likelihood.	nbinomial
A function to calculate Pearson Chi2 and its dispersion statistic following glm and glm.nb.	P__disp
A plot method for objects of class ml_g_fit.	plot.ml_g_fit
Function to produce residuals from a model of class msme.	residuals.msme
German health registry for the years 1984-1988	rwm5yr
A summary method for objects of class ml_g_fit.	summary.ml_g_fit
A summary method for objects of class msme.	summary.msme
Titanic passenger survival data	titanic
Upper Flat Creek forest cruise tree data	ufc