Functions and Datasets for "Methods of Statistical Model Estimation"

Documentation for package ‘msme’ version 0.5.4

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