msme: Functions and Datasets for "Methods of Statistical Model Estimation".

Share:

This package provides functions and datasets from the book "Methods of Statistical Model Estimation".

Author
Joseph Hilbe and Andrew Robinson
Date of publication
2014-07-21 09:36:58
Maintainer
Andrew Robinson <A.Robinson@ms.unimelb.edu.au>
License
GPL-3
Version
0.5.1

View on CRAN

Man pages

alrt
Function to compute asymptotic likelihood ratio test of two...
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...
ml_g
Function to fit linear regression using maximum likelihood.
ml_glm
A function to fit generalized linear models using maximum...
ml_glm2
A function to fit generalized linear models using maximum...
ml_glm3
A reduced maximum likelihood fitting function that omits null...
nbinomial
A function to fit negative binomial generalized linear models...
P__disp
A function to calculate Pearson Chi2 and its dispersion...
plot.ml_g_fit
A plot method for objects of class ml_g_fit.
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

Files in this package

msme
msme/inst
msme/inst/1-programming.R
msme/inst/6-panel-data.R
msme/inst/2-estimation.R
msme/inst/4-logistic.R
msme/inst/3-regression.R
msme/inst/7-bayes.R
msme/inst/5-advanced-glm.R
msme/tests
msme/tests/test_ml_glm3.R
msme/tests/test_nbinomial.R
msme/tests/test_ml_glm.R
msme/tests/test_ml_glm2.R
msme/tests/test_ml_g.R
msme/tests/test_irls.R
msme/NAMESPACE
msme/NEWS
msme/data
msme/data/medpar.rda
msme/data/doll.rda
msme/data/rwm5yr.rda
msme/data/titanic.rda
msme/data/ufc.rda
msme/data/heart.rda
msme/R
msme/R/ml_g.R
msme/R/jll.gNegBinomial.R
msme/R/Sjll2.R
msme/R/residuals.msme.R
msme/R/logLik.ml_g_fit.R
msme/R/predict_s.R
msme/R/irls.R
msme/R/alrt.R
msme/R/ml_glm_2.R
msme/R/devianceResiduals2.R
msme/R/coef.ml_g_fit.R
msme/R/se_coef.R
msme/R/ml_nb2.R
msme/R/irls_glogit.R
msme/R/jll.gnormal.R
msme/R/watson.R
msme/R/logLik.msme.R
msme/R/hatvalues.ml_g_fit.R
msme/R/residuals.ml_g_fit.R
msme/R/fitted.ml_g_fit.R
msme/R/nbinomial1.R
msme/R/summary.msme.R
msme/R/ml_nbc.R
msme/R/predict.expFamily.R
msme/R/pearson2.R
msme/R/ml_glm.R
msme/R/ml_glm_3.R
msme/R/irls_logit.R
msme/R/plot.ml_g_fit.R
msme/R/ml_nb1.R
msme/R/hatvalues.msme.R
msme/R/P__disp.R
msme/R/coef.msme.R
msme/R/jll.normal.R
msme/R/summary.ml_g_fit.R
msme/R/devianceResiduals.R
msme/MD5
msme/DESCRIPTION
msme/ChangeLog
msme/man
msme/man/irls.Rd
msme/man/P__disp.Rd
msme/man/ml_glm3.Rd
msme/man/plot.ml_g_fit.Rd
msme/man/summary.msme.Rd
msme/man/ufc.Rd
msme/man/rwm5yr.Rd
msme/man/ml_g.Rd
msme/man/alrt.Rd
msme/man/nbinomial.Rd
msme/man/summary.ml_g_fit.Rd
msme/man/hatvalues.msme.Rd
msme/man/doll.Rd
msme/man/medpar.Rd
msme/man/ml_glm2.Rd
msme/man/residuals.msme.Rd
msme/man/ml_glm.Rd
msme/man/heart.Rd
msme/man/titanic.Rd