Learn R Programming

⚠️There's a newer version (1.2-5) of this package.Take me there.

bamlss (version 1.1-9)

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

Description

Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2019) and the R package in Umlauf, Klein, Simon, Zeileis (2021) .

Copy Link

Version

Install

install.packages('bamlss')

Monthly Downloads

1,143

Version

1.1-9

License

GPL-2 | GPL-3

Maintainer

Nikolaus Umlauf

Last Published

November 9th, 2022

Functions in bamlss (1.1-9)

Crazy simulated data

AR1 Transformer Function

GAM Artificial Data Set

Austria States and Topography

GEFCom2014 Electricity Load Data

General Markov Chain Monte Carlo for BAMLSS

Prices of Used Cars Data

Deviance Information Criterion

Markov Chain Monte Carlo for BAMLSS using BayesX

Create Samples for BAMLSS by Multivariate Normal Approximation

Create a Survival Object for Joint Models

bamlss.engine.helpers

BAMLSS Engine Helper Functions

Continuous Rank Probability Score

bamlss.engine.setup

BAMLSS Engine Setup Function

Markov Chain Monte Carlo for BAMLSS using JAGS

London Fire Data

Watanabe-Akaike Information Criterion (WAIC)

Artificial Data Set based on Auckland's Maunga Whau Volcano

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

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

Compute 95% Credible Interval and Mean

Batchwise Backfitting

Fit BAMLSS with Backfitting

Continue Sampling

Plot a Color Legend

Bootstrap Boosting

Cox Model Prediction

Get a BAMLSS Family

Deep Learning BAMLSS

gamlss_distributions

Extract Distribution families of the gamlss.dist Package

Extract BAMLSS Coefficients

Boosting BAMLSS

Weekly Number of Fatalities in Austria

BAMLSS Fitted Values

Formulae for BAMLSS

Distribution Families in bamlss

Show Available Engines for a Family Object

Cox Model Markov Chain Monte Carlo

Create a Model Frame for BAMLSS

HOMSTART Precipitation Data

Implicit Stochastic Gradient Descent Optimizer

Fit Flexible Additive Joint Models

Lasso Smooth Constructor

Neural Networks for BAMLSS

Compute a Neighborhood Matrix from Spatial Polygons

Cox Model Posterior Mode Estimation

Linear Effects for BAMLSS

smooth.construct.kr.smooth.spec

Kriging Smooth Constructor

model.matrix.bamlss.frame

Construct/Extract BAMLSS Design Matrices

model.frame.bamlss

BAMLSS Model Frame

Plot 3D Effects

Factor Variable and Random Effects Plots

Random Bits for BAMLSS

Extract or Initialize Parameters for BAMLSS

Transform Smooth Constructs to Random Effects

Plot Coefficients Paths

Sampling Statistics

Scaling Vectors and Matrices

residuals.bamlss

Compute BAMLSS Residuals

Simulate longitudinal and survival data for joint models

Stability selection.

MCMC Based Simple Significance Check for Smooth Terms

Extract the reponse name of a bamlss.frame object.

Survival Model Transformer Function

Plotting BAMLSS

smooth.construct.sr.smooth.spec

Random Effects P-Spline

BAMLSS Model Terms

smooth.construct

Constructor Functions for Smooth Terms in BAMLSS

smooth.construct.ms.smooth.spec

Smooth constructor for monotonic P-splines

Plot 2D Effects

Summary for BAMLSS

Special Smooths in BAMLSS Formulae

BAMLSS Prediction

Extract Samples

results.bamlss.default

Compute BAMLSS Results for Plotting and Summaries

Remove Special Characters

Simulate Survival Times

Plot Slices of Bivariate Functions