msme: Functions and Datasets for "Methods of Statistical Model Estimation".
Version 0.5.1

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

Browse man pages Browse package API and functions Browse package files

AuthorJoseph Hilbe and Andrew Robinson
Date of publication2014-07-21 09:36:58
MaintainerAndrew Robinson <A.Robinson@ms.unimelb.edu.au>
LicenseGPL-3
Version0.5.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("msme")

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

Functions

P__disp Man page Source code
Sjll Source code
Sjll2 Source code
alrt Man page Source code
coef.ml_g_fit Source code
coef.msme Source code
devIRLS Source code
devianceResids Source code
devianceResiduals Source code
devianceResiduals2 Source code
doll Man page
fitted.ml_g_fit Source code
getDispersion Source code
getDispersion.gamma Source code
getDispersion.nb2 Source code
getDispersion.negBinomial Source code
getDispersion.normal Source code
hatvalues.ml_g_fit Source code
hatvalues.msme Man page Source code
heart Man page
initialize Source code
irls Man page Source code
irls_glogit Source code
irls_logit Source code
jll Source code
jll.bernoulli Source code
jll.gNegBinomial Source code
jll.poisson Source code
jll.ztp Source code
jll2 Source code
jll2.gamma Source code
jll2.nb2 Source code
jll2.negBinomial Source code
jll2.normal Source code
jll_gnormal Source code
jll_normal Source code
jllm Source code
jllm.binomial Source code
jllm.negBinomial Source code
jllm.poisson Source code
kickStart Source code
kickStart.default Source code
kickStart.inverse Source code
kickStart.log Source code
lPrime Source code
lPrime.cloglog Source code Source code
lPrime.identity Source code
lPrime.inverse Source code
lPrime.inverse2 Source code
lPrime.log Source code
lPrime.logit Source code
lPrime.negbin Source code
lPrime.probit Source code
linkFn Source code
linkFn.cloglog Source code Source code
linkFn.identity Source code
linkFn.inverse Source code
linkFn.inverse2 Source code
linkFn.log Source code
linkFn.logit Source code
linkFn.negbin Source code
linkFn.probit Source code
logLik.ml_g_fit Source code
logLik.msme Source code
maximize Source code
medpar Man page
ml.nb1 Source code
ml.nb2 Source code
ml.nbc Source code
ml_g Man page Source code
ml_glm Man page Source code
ml_glm2 Man page Source code
ml_glm3 Man page Source code
nbinomial Man page Source code
pearson2 Source code
pearsonResiduals2 Source code
plot.ml_g_fit Man page Source code
predict.expFamily Source code
predict_s Source code
residuals.ml_g_fit Source code
residuals.msme Man page Source code
rwm5yr Man page
se_coef Source code
summary.ml_g_fit Man page Source code
summary.msme Man page Source code
titanic Man page
ufc Man page
unlink Source code
unlink.cloglog Source code Source code
unlink.cloglog1 Source code Source code
unlink.identity Source code
unlink.inverse Source code
unlink.inverse2 Source code
unlink.log Source code Source code
unlink.logit Source code
unlink.logit1 Source code Source code
unlink.negbin Source code
unlink.probit Source code
unlink.probit1 Source code Source code
unlink_s Source code
unlink_s.identity_s Source code
unlink_s.inverse_s Source code
unlink_s.log_s Source code
variance Source code
variance.binomial Source code
variance.negBinomial Source code
variance.poisson Source code

Files

inst
inst/1-programming.R
inst/6-panel-data.R
inst/2-estimation.R
inst/4-logistic.R
inst/3-regression.R
inst/7-bayes.R
inst/5-advanced-glm.R
tests
tests/test_ml_glm3.R
tests/test_nbinomial.R
tests/test_ml_glm.R
tests/test_ml_glm2.R
tests/test_ml_g.R
tests/test_irls.R
NAMESPACE
NEWS
data
data/medpar.rda
data/doll.rda
data/rwm5yr.rda
data/titanic.rda
data/ufc.rda
data/heart.rda
R
R/ml_g.R
R/jll.gNegBinomial.R
R/Sjll2.R
R/residuals.msme.R
R/logLik.ml_g_fit.R
R/predict_s.R
R/irls.R
R/alrt.R
R/ml_glm_2.R
R/devianceResiduals2.R
R/coef.ml_g_fit.R
R/se_coef.R
R/ml_nb2.R
R/irls_glogit.R
R/jll.gnormal.R
R/watson.R
R/logLik.msme.R
R/hatvalues.ml_g_fit.R
R/residuals.ml_g_fit.R
R/fitted.ml_g_fit.R
R/nbinomial1.R
R/summary.msme.R
R/ml_nbc.R
R/predict.expFamily.R
R/pearson2.R
R/ml_glm.R
R/ml_glm_3.R
R/irls_logit.R
R/plot.ml_g_fit.R
R/ml_nb1.R
R/hatvalues.msme.R
R/P__disp.R
R/coef.msme.R
R/jll.normal.R
R/summary.ml_g_fit.R
R/devianceResiduals.R
MD5
DESCRIPTION
ChangeLog
man
man/irls.Rd
man/P__disp.Rd
man/ml_glm3.Rd
man/plot.ml_g_fit.Rd
man/summary.msme.Rd
man/ufc.Rd
man/rwm5yr.Rd
man/ml_g.Rd
man/alrt.Rd
man/nbinomial.Rd
man/summary.ml_g_fit.Rd
man/hatvalues.msme.Rd
man/doll.Rd
man/medpar.Rd
man/ml_glm2.Rd
man/residuals.msme.Rd
man/ml_glm.Rd
man/heart.Rd
man/titanic.Rd
msme documentation built on May 19, 2017, 1:26 p.m.