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                     Fit a binomial linear regression model
blm-class               Class "blm"
blm-package             Binomial linear and linear-expit regression
                        model
ccdata                  Simulated case-control dataset
coef.blm                Get coefs from 'blm' and 'lexpit' objects.
confint.blm             Confidence intervals for parameters of 'blm'
                        and 'lexpit' objects.
crude.risk              Risk-exposure scatter plot
expit                   Inverse-logit function
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.
lexpit                  Fit a linear-expit regression model
lexpit-class            Class "lexpit"
logLik.blm              Log-likelihood of 'blm' and 'lexpit' objects.
logit                   Logit function
model.formula           Get formula call for 'blm' and 'lexpit'
                        objects.
predict.blm             Get risk predictions for 'blm' and 'lexpit'
                        objects.
print.blm               Print coefficients of 'blm' and 'lexpit' model
                        fit.
resid.blm               Get residuals from 'blm' and 'lexpit' objects.
risk.exposure.plot      Risk-exposure scatter plot
show.blm                Show 'blm' and 'lexpit' model fit.
summary.blm             Summary of 'blm' and 'lexpit' model fit.
vcov.blm                Get variance-covariance from 'blm' and 'lexpit'
                        objects.
which.at.boundary       Covariate patterns at the boundary for 'blm'
                        and 'lexpit' objects.
