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blm (version 2011.2.0)

Binomial linear and linear-expit regression

Description

General additive regression models for binary cohort data which use constrained maximum likelihood for estimation.

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Version

Install

install.packages('blm')

Monthly Downloads

364

Version

2011.2.0

License

GPL (>= 2)

Maintainer

S A Kovalchik

Last Published

November 23rd, 2011

Functions in blm (2011.2.0)

EO

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

Computes deviance and Pearson's chi-squared statistica for a logisitc model fit with glm.
ci.blm

Compute confidence interval for linear combination of estimates from a blm and lexpit fit.
gof

Goodness-of-fit statistics for blm and lexpit objects.
lexpit

Fit a binomial linear-expit regression model
hosmerlem

Hosmer-Lemeshow goodness-of-fit for binary data model
influence

Measures of influence for blm and lexpit objects.
blm-class

Class "blm"
predict

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

Class "lexpit"
coef

Get coefs from blm and lexpit objects.
grad

Data set on admission to graduate school
is.constrained

Indicator whether final estimate of blm or lexpit fit was constrained.
logistic.rd

Estimate a risk difference between two subject types from a logistic regression model
blm-package

Binomial linear and linear-expit regression model
show

Show blm and lexpit model fit.
subresample

Get a resampled subsample of blm and lexpit estimates.
logistic.rr

Estimate a relative risk from a logistic regression model
plot

Plot of observed versus expected for blm and lexpit objects.
ci

Compute confidence interval for linear combination of estimates from a blm and lexpit fit.
blm

Fit a binomial linear regression model
ci.logit.transform

Compute confidence interval for linear combination of estimates from a blm and lexpit fit.
blm.rr

Estimate a relative risk from a binomial linear regression model
vcov

Get variance-covariance from blm and lexpit objects.
which.constrained

Index of constrained observations for blm and lexpit objects.
expit

Inverse-logit function
summary

Summary of blm and lexpit model fit.
vcovBoot

Get bootstrap variance-covariance from blm and lexpit objects.
print

Print coefficients of blm and lexpit model fit.
resid

Get residuals for blm and lexpit objects.
logistic.baseline

Estimate an absolute risk from a logistic regression model