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blm (version 2013.2.4.1)

Binomial linear and linear-expit regression

Description

Implements regression models for binary data on the absolute risk scale. These models are applicable to cohort and population-based case-control data.

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Version

Install

install.packages('blm')

Monthly Downloads

364

Version

2013.2.4.1

License

GPL (>= 2)

Maintainer

S A Kovalchik

Last Published

February 11th, 2013

Functions in blm (2013.2.4.1)

blm-package

Binomial linear and linear-expit regression model
Rsquared

Compute R-squared measures of model fit for blm and lexpit objects.
EO

Compute the ratio of expected event to observed events for blm and lexpit objects.
excess.risk

Compute binned excess risk for BLM of LEXPIT fit
LRT

Performs likelihood-ratio test for LEXPIT and BLM models of cohort data
confint

Confidence intervals for parameters of blm and lexpit objects.
show

Show blm and lexpit model fit.
print

Print coefficients of blm and lexpit model fit.
predict

Get risk predictions for blm and lexpit objects.
expit

Inverse-logit function
vcov

Get variance-covariance from blm and lexpit objects.
blm-class

Class "blm"
resid

Get residuals from blm and lexpit objects.
aarp

Nested case-control data set of bladder cancer in the NIH-AARP Diet and Health Study
logit

Logit function
coef

Get coefs from blm and lexpit objects.
ccdata

Simulated case-control dataset
lexpit-class

Class "lexpit"
blm

Fit a binomial linear regression model
summary

Summary of blm and lexpit model fit.
lexpit

Fit a linear-expit regression model