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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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Install
install.packages('logbin')
Monthly Downloads
427
Version
1.2
License
GPL (>= 2)
Maintainer
Mark Donoghoe
Last Published
May 12th, 2015
Functions in logbin (1.2)
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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