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msme (version 0.5.1)
Functions and Datasets for "Methods of Statistical Model Estimation".
Description
This package provides functions and datasets from the book "Methods of Statistical Model Estimation".
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Install
install.packages('msme')
Monthly Downloads
1,649
Version
0.5.1
License
GPL-3
Maintainer
Andrew Robinson
Last Published
July 21st, 2014
Functions in msme (0.5.1)
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nbinomial
A function to fit negative binomial generalized linear models using maximum likelihood.
P__disp
A function to calculate Pearson Chi2 and its dispersion statistic following glm and glm.nb.
titanic
Titanic passenger survival data
residuals.msme
Function to produce residuals from a model of class msme.
ufc
Upper Flat Creek forest cruise tree data
medpar
US national Medicare inpatient hospital database for Arizona patients.
summary.msme
A summary method for objects of class msme.
heart
Heart surgery outcomes for Canadian patients
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.
ml_g
Function to fit linear regression using maximum likelihood.
summary.ml_g_fit
A summary method for objects of class ml_g_fit.
ml_glm2
A function to fit generalized linear models using maximum likelihood.
ml_glm3
A reduced maximum likelihood fitting function that omits null models.
doll
Physician smoking and mortality count data
hatvalues.msme
Function to return the hat matrix of a msme-class model.
irls
Function to fit generalized linear models using IRLS.
alrt
Function to compute asymptotic likelihood ratio test of two models.
rwm5yr
German health registry for the years 1984-1988