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blm (version 2013.2.4.4)

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

309

Version

2013.2.4.4

License

GPL (>= 2)

Maintainer

S A Kovalchik

Last Published

August 16th, 2013

Functions in blm (2013.2.4.4)

print

Print coefficients of blm and lexpit model fit.
vcov

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

Binomial linear and linear-expit regression model
summary

Summary of blm and lexpit model fit.
coef

Get coefs from blm and lexpit objects.
ccdata

Simulated case-control dataset
show

Show blm and lexpit model fit.
logLik

Log-likelihood of blm and lexpit objects.
lexpit

Fit a linear-expit regression model
aarp

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

Get risk predictions for blm and lexpit objects.
crude.risk

Risk-exposure scatter plot
resid

Get residuals from blm and lexpit objects.
LRT

Performs likelihood-ratio test for lexpit and BLM models of cohort data
expit

Inverse-logit function
lexpit-class

Class "lexpit"
risk.exposure.plot

Risk-exposure scatter plot
EO

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

Fit a binomial linear regression model
confint

Confidence intervals for parameters of blm and lexpit objects.
blm-class

Class "blm"
Rsquared

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

Logit function
model.formula

Get formula call for blm and lexpit objects.
gof

Hosmer-lemeshow goodness-of-fit statistics for blm and lexpit objects.
gof.pearson

Pearson's goodness-of-fit statistics for blm and lexpit objects.
which.at.boundary

Covariate patterns at the boundary for blm and lexpit objects.