bamlss1.2-5 package

AR1 Transformer Function

Bayesian Additive Models for Location Scale and Shape (and Beyond)

BAMLSS Engine Helper Functions

BAMLSS Engine Setup Function

Cholesky MVN (disttree)

Show Available Engines for a Family Object

Distribution Families in bamlss

BAMLSS Fitted Values

GAM Artificial Data Set

Extract Distribution families of the gamlss.dist Package

Get a BAMLSS Family

General Markov Chain Monte Carlo for BAMLSS

Linear Effects for BAMLSS

Formula Generator

BAMLSS Model Frame

Compute a Neighborhood Matrix from Spatial Polygons

Transform Smooth Constructs to Random Effects

Random Bits for BAMLSS

Constructor Functions for Smooth Terms in BAMLSS

Random Effects P-Spline

Deviance Information Criterion

Formulae for BAMLSS

Create a Model Frame for BAMLSS

Fit Bayesian Additive Models for Location Scale and Shape (and Beyond)

Markov Chain Monte Carlo for BAMLSS using BayesX

Batchwise Backfitting

Bootstrap Boosting

Fit BAMLSS with Backfitting

Boosting BAMLSS

Compute 95% Credible Interval and Mean

Extract BAMLSS Coefficients

Plot a Color Legend

Continue Sampling

Cox Model Markov Chain Monte Carlo

Cox Model Posterior Mode Estimation

Cox Model Prediction

Crazy simulated data

Continuous Rank Probability Score

Deep Distributional Neural Network

HOMSTART Precipitation Data

Implicit Stochastic Gradient Descent Optimizer

Markov Chain Monte Carlo for BAMLSS using JAGS

Fit Flexible Additive Joint Models

Kriging Smooth Constructor

Lasso Smooth Constructor

Watanabe-Akaike Information Criterion (WAIC)

Construct/Extract BAMLSS Design Matrices

Cholesky MVN

Modified Cholesky MVN

Cholesky MVN

Create Samples for BAMLSS by Multivariate Normal Approximation

Neural Networks for BAMLSS

Extract or Initialize Parameters for BAMLSS

Plot Coefficients Paths

Plotting BAMLSS

Plot 2D Effects

Plot 3D Effects

Factor Variable and Random Effects Plots

Plot Maps

BAMLSS Prediction

Compute BAMLSS Residuals

Extract the reponse name of a bamlss.frame object.

Compute BAMLSS Results for Plotting and Summaries

Remove Special Characters

Special Smooths in BAMLSS Formulae

Extract Samples

Sampling Statistics

Scaling Vectors and Matrices

Some Shortcuts

Simulate longitudinal and survival data for joint models

Simulate Survival Times

Plot Slices of Bivariate Functions

MCMC Based Simple Significance Check for Smooth Terms

Smooth constructor for monotonic P-splines

Stability selection.

Summary for BAMLSS

Survival Model Transformer Function

Create a Survival Object for Joint Models

BAMLSS Model Terms

Create distributions3 Object

Artificial Data Set based on Auckland's Maunga Whau Volcano