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. |