Learn R Programming

msme (version 0.5.3)

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.

Copy Link

Version

Install

install.packages('msme')

Monthly Downloads

848

Version

0.5.3

License

GPL-3

Maintainer

Andrew Robinson Joseph M Hilbe hilbeasuedu

Last Published

March 18th, 2018

Functions in msme (0.5.3)

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.
doll

Physician smoking and mortality count data
ml_glm2

A function to fit generalized linear models using maximum likelihood.
hatvalues.msme

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

Function to fit linear regression using maximum likelihood.
plot.ml_g_fit

A plot method for objects of class ml_g_fit.
ml_glm

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

Upper Flat Creek forest cruise tree data
alrt

Function to compute asymptotic likelihood ratio test of two models.
rwm5yr

German health registry for the years 1984-1988
P__disp

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

A summary method for objects of class msme.
ml_glm3

A reduced maximum likelihood fitting function that omits null models.
summary.ml_g_fit

A summary method for objects of class ml_g_fit.
titanic

Titanic passenger survival data
nbinomial

A function to fit negative binomial generalized linear models using maximum likelihood.
residuals.msme

Function to produce residuals from a model of class msme.