Binomial linear and linear-expit regression


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Documentation for package ‘blm’ version 2011.2.0

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blm-package Binomial linear and linear-expit regression model
blm Fit a binomial linear regression model
blm-class Class "blm"
blm.rr Estimate a relative risk from a binomial linear regression model
ci Compute confidence interval for linear combination of estimates from a 'blm' and 'lexpit' fit.
ci-method Compute confidence interval for linear combination of estimates from a 'blm' and 'lexpit' fit.
ci.blm Compute confidence interval for linear combination of estimates from a 'blm' and 'lexpit' fit.
ci.blm-method Compute confidence interval for linear combination of estimates from a 'blm' and 'lexpit' fit.
ci.logit.transform Compute confidence interval for linear combination of estimates from a 'blm' and 'lexpit' fit.
ci.logit.transform-method Compute confidence interval for linear combination of estimates from a 'blm' and 'lexpit' fit.
coef Get coefs from 'blm' and 'lexpit' objects.
coef-method Get coefs from 'blm' and 'lexpit' objects.
EO Compute the ratio of expected event to observed events for 'blm' and 'lexpit' objects.
EO-method Compute the ratio of expected event to observed events for 'blm' and 'lexpit' objects.
expit Inverse-logit function
gof Goodness-of-fit statistics for 'blm' and 'lexpit' objects.
gof-method Goodness-of-fit statistics for 'blm' and 'lexpit' objects.
grad Data set on admission to graduate school
hosmerlem Hosmer-Lemeshow goodness-of-fit for binary data model
influence Measures of influence for 'blm' and 'lexpit' objects.
influence-method Measures of influence for 'blm' and 'lexpit' objects.
is.constrained Indicator whether final estimate of 'blm' or 'lexpit' fit was constrained.
is.constrained-method Indicator whether final estimate of 'blm' or 'lexpit' fit was constrained.
lexpit Fit a binomial linear-expit regression model
lexpit-class Class "lexpit"
logistic.baseline Estimate an absolute risk from a logistic regression model
logistic.dispersion Computes deviance and Pearson's chi-squared statistica for a logisitc model fit with 'glm'.
logistic.rd Estimate a risk difference between two subject types from a logistic regression model
logistic.rr Estimate a relative risk from a logistic regression model
plot Plot of observed versus expected for 'blm' and 'lexpit' objects.
plot-method Plot of observed versus expected for 'blm' and 'lexpit' objects.
predict Get risk predictions for 'blm' and 'lexpit' objects.
predict-method Get risk predictions for 'blm' and 'lexpit' objects.
print Print coefficients of 'blm' and 'lexpit' model fit.
print-method Print coefficients of 'blm' and 'lexpit' model fit.
resid Get residuals for 'blm' and 'lexpit' objects.
resid-method Get residuals for 'blm' and 'lexpit' objects.
show Show 'blm' and 'lexpit' model fit.
show-method Show 'blm' and 'lexpit' model fit.
subresample Get a resampled subsample of 'blm' and 'lexpit' estimates.
subresample-method Get a resampled subsample of 'blm' and 'lexpit' estimates.
summary Summary of 'blm' and 'lexpit' model fit.
summary-method Summary of 'blm' and 'lexpit' model fit.
vcov Get variance-covariance from 'blm' and 'lexpit' objects.
vcov-method Get variance-covariance from 'blm' and 'lexpit' objects.
vcovBoot Get bootstrap variance-covariance from 'blm' and 'lexpit' objects.
vcovBoot-method Get bootstrap variance-covariance from 'blm' and 'lexpit' objects.
which.constrained Index of constrained observations for 'blm' and 'lexpit' objects.
which.constrained-method Index of constrained observations for 'blm' and 'lexpit' objects.