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logbin (version 1.2)

Relative Risk Regression Using the Log-Binomial Model

Description

Methods for fitting log-link GLMs and GAMs to binomial data, using EM-type algorithms with more stable convergence properties than standard methods.

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Version

Install

install.packages('logbin')

Monthly Downloads

559

Version

1.2

License

GPL (>= 2)

Maintainer

Mark Donoghoe

Last Published

May 12th, 2015

Functions in logbin (1.2)

predict.logbin

Predict Method for logbin Fits

nplbin

Non-Positive Log-Binomial Regression

contr.isotonic.rev

Contrast Matrix for Reversed Isotonic Covariate

logbin.control

Auxiliary for Controlling logbin Fitting

logbin.smooth

Smooth Log-Binomial Regression

summary.logbin

Summarising logbin Model Fits

vcov.logbin

Calculate Variance-Covariance Matrix for a Fitted logbin Model Object

logbin

Log-Binomial Regression

predict.logbin.smooth

Predict Method for logbin.smooth Fits

logbin.design

Construct Design Matrix for logbin Model

conv.test

Convergence Test Based on L2 Norm

logbin.smooth.design

Construct Design Matrix for logbin.smooth Model

B.Iso

Defining Smooths in logbin.smooth Formulae

logbin-package

Relative Risk Regression Using the Log-Binomial Model

plot.logbin.smooth

Default logbin.smooth Plotting

confint.logbin

Confidence Intervals for logbin Model Parameters

logbin.allref

Parameterisation for CEM Algorithm

anova.logbin

Analysis of Deviance for logbin Fits

logbin.smooth.allref

Parameterisation for CEM Algorithm with Smooth Terms

interpret.logbin.smooth

Interpret a logbin.smooth Formula