pblm-package |
Bivariate Additive Marginal Regression for Categorical Responses |
AIC.pblm |
Summarizing methods for bivariate additive logistic regression |
bms |
A British male sample on occupational status. |
chisq.test.pblm |
Summarizing methods for bivariate additive logistic regression |
coef.pblm |
Summarizing methods for bivariate additive logistic regression |
coefficients.pblm |
Summarizing methods for bivariate additive logistic regression |
deviance.pblm |
Summarizing methods for bivariate additive logistic regression |
edf.pblm |
Summarizing methods for bivariate additive logistic regression |
fitted.pblm |
Summarizing methods for bivariate additive logistic regression |
logLik.pblm |
Summarizing methods for bivariate additive logistic regression |
multicolumn |
transforming bivariate data in a multi-column format |
pb |
Specify a Penalised B-Spline Fit in a pblm Formula |
pb.control |
Specify a Penalised B-Spline Fit in a pblm Formula |
pblm |
Bivariate Additive Regression for Categorical Responses |
pblm.control |
Auxiliary for controlling the algorithm in a 'pblm' model |
pblm.penalty |
Auxiliary for specifying penalty terms in a 'pblm' model |
pblm.prop |
Auxiliary for specyfing category-dependent covariates in a 'pblm' model |
pbs |
Specify a Penalised B-Spline Fit in a pblm Formula |
plot.pblm |
Plotting terms for a 'pblm' object |
predict.pblm |
Summarizing methods for bivariate additive logistic regression |
print.pblm |
Summarizing methods for bivariate additive logistic regression |
print.summary.pblm |
Summarizing methods for bivariate additive logistic regression |
resid.pblm |
Summarizing methods for bivariate additive logistic regression |
residuals.pblm |
Summarizing methods for bivariate additive logistic regression |
Rsq.pblm |
Summarizing methods for bivariate additive logistic regression |
se.smooth.pblm |
Summarizing methods for bivariate additive logistic regression |
summary.pblm |
Summarizing methods for bivariate additive logistic regression |
ulcer |
The ulcer data |
vcov.pblm |
Summarizing methods for bivariate additive logistic regression |