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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.
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0.5.3
0.5.1
0.4.4
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0.4.2
0.4.0
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Install
install.packages('msme')
Monthly Downloads
1,649
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)
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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.