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blm (version 2022.0.0.1)

Binomial Linear 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

254

Version

2022.0.0.1

License

GPL (>= 2)

Maintainer

S A Kovalchik

Last Published

September 12th, 2022

Functions in blm (2022.0.0.1)

EO

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

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

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

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

Class "blm"
gof

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

Inverse-logit function
which.at.boundary

Covariate patterns at the boundary for blm and lexpit objects.
blm-package

Binomial linear and linear-expit regression model
logit

Logit function
gof.pearson

Pearson's goodness-of-fit statistics for blm and lexpit objects.
ccdata

Simulated case-control dataset
resid

Get residuals from blm and lexpit objects.
print

Print coefficients of blm and lexpit model fit.
confint

Confidence intervals for parameters of blm and lexpit objects.
logLik

Log-likelihood of blm and lexpit objects.
crude.risk

Risk-exposure scatter plot
coef

Get coefs from blm and lexpit objects.
blm

Fit a binomial linear regression model
risk.exposure.plot

Risk-exposure scatter plot
show

Show blm and lexpit model fit.
model.formula

Get formula call for blm and lexpit objects.
predict

Get risk predictions for blm and lexpit objects.
lexpit-class

Class "lexpit"
lexpit

Fit a linear-expit regression model
vcov

Get variance-covariance from blm and lexpit objects.
summary

Summary of blm and lexpit model fit.