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blm (version 2012.2.4)

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

2012.2.4

License

GPL (>= 2)

Maintainer

S A Kovalchik

Last Published

December 14th, 2012

Functions in blm (2012.2.4)

LRT

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

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

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

Class "lexpit"
coef

Get coefs from blm and lexpit objects.
lexpit

Fit a linear-expit regression model
excess.risk

Compute binned excess risk for BLM of LEXPIT fit
influence

Measures of influence for blm and lexpit objects.
expit

Inverse-logit function
vcov

Get variance-covariance from blm and lexpit objects.
confint

Confidence intervals for parameters of blm and lexpit objects.
summary

Summary of blm and lexpit model fit.
ccdata

Simulated case-control dataset
blm-package

Binomial linear and linear-expit regression model
resid

Get residuals from blm and lexpit objects.
blm-class

Class "blm"
blm

Fit a binomial linear regression model
aarp

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

Logit function
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.
displacement

Measures of confidence interval displacement of observations in a blm and lexpit model fit.
leverage

Measures of leverage of observations in a blm and lexpit model fit.