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msme (version 0.5.4)

Functions and Datasets for "Methods of Statistical Model Estimation"

Description

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

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Version

Install

install.packages('msme')

Monthly Downloads

763

Version

0.5.4

License

GPL-3

Maintainer

Andrew Robinson Joseph M Hilbe hilbeasuedu

Last Published

April 28th, 2025

Functions in msme (0.5.4)

rwm5yr

German health registry for the years 1984-1988
titanic

Titanic passenger survival data
ufc

Upper Flat Creek forest cruise tree data
summary.msme

A summary method for objects of class msme.
nbinomial

A function to fit negative binomial generalized linear models using maximum likelihood.
summary.ml_g_fit

A summary method for objects of class ml_g_fit.
residuals.msme

Function to produce residuals from a model of class msme.
plot.ml_g_fit

A plot method for objects of class ml_g_fit.
ml_glm3

A reduced maximum likelihood fitting function that omits null models.
ml_glm

A function to fit generalized linear models using maximum likelihood.
P__disp

A function to calculate Pearson Chi2 and its dispersion statistic following glm and glm.nb.
doll

Physician smoking and mortality count data
heart

Heart surgery outcomes for Canadian patients
medpar

US national Medicare inpatient hospital database for Arizona patients.
irls

Function to fit generalized linear models using IRLS.
hatvalues.msme

Function to return the hat matrix of a msme-class model.
alrt

Function to compute asymptotic likelihood ratio test of two models.
ml_glm2

A function to fit generalized linear models using maximum likelihood.
ml_g

Function to fit linear regression using maximum likelihood.