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

# Functions and Datasets for "Methods of Statistical Model Estimation"

## Documentation for package ‘msme’ version 0.5.4

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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