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marg (version 1.2-2.1)
Approximate Marginal Inference for Regression-Scale Models
Description
Likelihood inference based on higher order approximations for linear nonnormal regression models.
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Version
1.2-2.1
1.2-2
1.2-1
1.2-0
1.1-3
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Install
install.packages('marg')
Monthly Downloads
230
Version
1.2-2.1
License
GPL (>= 2) | file LICENCE
Homepage
https://www.r-project.org
Maintainer
Alessandra R Brazzale
Last Published
April 16th, 2018
Functions in marg (1.2-2.1)
Search functions
houses
House Price Data
print.family.rsm
Use print() on a ``family.rsm'' object
rsm.diag.plots
Diagnostic Plots for Regression-Scale Models
rsm.distributions
RSM Family Support Object
rsm.dispersion
Support for Functions rsm.fit and rsm.surv
anova.rsmlist
Use anova() on a ``rsmlist'' object
Huber
Huber's Least Favourable Distribution
cond
Approximate Conditional Inference - Generic Function
make.family.rsm
Support for RSM Family Functions
anova.rsm
ANOVA Table for a RSM Object
marg-package
Approximate marginal inference for regression-scale models
marg.object
Approximate Marginal Inference Object
rsm.families
Generate a RSM Family Object
nuclear
Nuclear Power Station Data
rsm.fit
Fit a Regression-Scale Model Without Computing the Model Matrix
residuals.rsm
Compute Residuals for Regression-Scale Models
summary.rsm
Summary Method for Regression-Scale Models
rsm
Fit a Regression-Scale Model
update.rsm
Update and Re-fit a RSM Model Call
rsm.surv
Fit a Regression-Scale Model Without Computing the Model Matrix
summary.marg
Summary Method for Objects of Class ``marg''
family.rsm
Use family() on a ``rsm'' object
family.rsm.object
Family Object for Regression-Scale Models
print.summary.marg
Use print() on a ``summary.marg'' object
print.summary.rsm
Use print() on a ``summary.rsm'' object
rsm.null
Fit an Empty Regression-Scale Model
rsm.object
Regression-Scale Model Object
vcov.rsm
Calculate Variance-Covariance Matrix for a Fitted RSM Model
venice
Sea Level Data
cond.rsm
Approximate Conditional Inference in Regression-Scale Models
darwin
Darwin's Data on Growth Rates of Plants
logLik.rsm
Compute the Log Likelihood for Regression-Scale Models
print.marg
Use print() on a ``marg'' object
print.rsm
Use print() on a ``rsm'' object
rsm.diag
Diagnostics for Regression-Scale Models
plot.marg
Generate Plots for an Approximate Marginal Inference Object