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logbin (version 1.0)

Relative Risk Regression Using the Log Binomial Model

Description

Methods for fitting log-link GLMs and GAMs for binomial data. The package uses EM-type algorithms with more stable convergence properties than standard methods.

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Version

Install

install.packages('logbin')

Monthly Downloads

559

Version

1.0

License

GPL (>= 2)

Maintainer

Mark Donoghoe

Last Published

October 16th, 2014

Functions in logbin (1.0)

B.Iso

Defining Smooths in logbin.smooth Formulae
logbin.smooth

Smooth Log Binomial Regression
anova.logbin

Analysis of Deviance for logbin Fits
vcov.logbin

Calculate Variance-Covariance Matrix for a Fitted logbin Model Object
confint.logbin

Confidence Intervals for logbin Model Parameters
logbin.control

Auxiliary for Controlling logbin Fitting
nplbin

Non-Positive Log Binomial Regression
logbin

Log Binomial Regression
contr.isotonic.rev

Contrast Matrix for Reversed Isotonic Covariate
logbin-package

Relative Risk Regression Using the Log Binomial Model
interpret.logbin.smooth

Interpret a logbin.smooth Formula
predict.logbin.smooth

Predict Method for logbin.smooth Fits
logbin.smooth.allref

Parameterization for CEM Algorithm with Smooth Terms
logbin.design

Construct Design Matrix for logbin Model
predict.logbin

Predict Method for logbin Fits
logbin.allref

Parameterization for CEM Algorithm
conv.test

Convergence Test Based on L2 Norm
plot.logbin.smooth

Default logbin.smooth Plotting
summary.logbin

Summarizing logbin Model Fits
logbin.smooth.design

Construct Design Matrix for logbin.smooth Model