R: Additive Model for Ordinal Data using Laplace P-Splines

# Additive Model for Ordinal Data using Laplace P-Splines

## Documentation for package ‘ordgam’ version 0.9.1

- DESCRIPTION file
- Package README

## Help Pages

centeredBasis.gen | Generation of a recentered B-spline basis matrix in additive models
freehmsData | Perception of gay men and lesbians in Wallonia, Belgium.
freehmsDataBE | Perception of gay men and lesbians in Belgium.
lmarg.gammaTilde | Marginal posterior density function for a remapped non-penalized parameter in an ordgam model
lpost.gamma | Posterior density function for the non-penalized parameters in an ordgam model
ordgam | Fit of an additive proportional odds model for ordinal data using Laplace approximations and P-splines
ordgam.object | Object resulting from the fit of an additive proportional odds model using 'ordgam'
ordgam_additive | Compute the additive terms estimated using an 'ordgam' model
ordregr | Fit a proportional odds model for ordinal data
ordregr.object | Object resulting from the fit of a proportional odds model using 'ordregr'
ordregr_lpost | Log-posterior function for a proportional odds model
Pcal.fun | Compute the penalty matrix associated to a vector containing fixed (non-penalized) parameters and equal-size sub-vectors of penalized spline parameters
plot.ordgam | Plot the the additive terms in an <ordgam> object with its credible regions
print.ordregr | Print an 'ordregr' or an 'ordgam' object.
SNapprox | Skew-Normal approximation to a density evaluated on a sparse grid
STapprox | Skew-t approximation to a density evaluated on a sparse grid