R: Bayesian Inference with Laplace Approximations and P-Splines

# Bayesian Inference with Laplace Approximations and P-Splines

## Documentation for package ‘blapsr’ version 0.7.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

amlps | Bayesian additive partial linear modeling with Laplace-P-splines.
amlps.object | Object resulting from the fit of an additive partial linear model.
coxlps | Fit a Cox proportional hazards regression model with Laplace-P-splines.
coxlps.baseline | Extract estimated baseline quantities from a fit with coxlps.
coxlps.object | Object from a Cox proportional hazards fit with Laplace-P-splines.
cubicbs | Construct a cubic B-spline basis.
curelps | Promotion time cure model with Laplace P-splines.
curelps.extract | Extract estimates of survival functions and cure probability for the promotion time cure model.
curelps.object | Object from a promotion time model fit with Laplace-P-splines.
ecog1684 | Phase III Melanoma clinical trial.
gamlps | Bayesian generalized additive modeling with Laplace-P-splines.
gamlps.object | Object resulting from the fit of a generalized additive model.
kidneytran | Survival data of kidney transplant patients.
laryngeal | Survival data of male laryngeal cancer patients.
medicaid | Data from the 1986 Medicaid Consumer Survey.
melanoma | Melanoma survival data.
penaltyplot | Plot the approximate posterior distribution of the penalty vector.
plot.amlps | Plot smooth functions of an additive model object.
plot.coxlps | Plot baseline hazard and survival curves from a coxlps object.
plot.curelps | Plot estimated survival functions and cure probability for the promotion time cure model.
plot.gamlps | Plot smooth functions of a generalized additive model object.
print.amlps | Print an additive partial linear model object.
print.coxlps | Print a coxlps object.
print.curelps | Print the fit of a promotion time cure model.
print.gamlps | Print a generalized additive model object.
simcuredata | Simulation of survival times for the promotion time cure model.
simgamdata | Simulation of data for (Generalized) additive models.
simsurvdata | Simulation of right censored survival times for the Cox model.
snmatch | Fit a skew-normal distribution to a target density.