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

## Documentation for package ‘bamlss’ version 1.0-1

- DESCRIPTION file.

## Help Pages

A B C D F G H J L M N P Q R S T V

bamlss-package | Bayesian Additive Models for Location Scale and Shape (and Beyond)

## -- A --

Austria | Austria States and Topography
AustriaTopo | Austria States and Topography

## -- B --

bamlss | Fit Bayesian Additive Models for Location Scale and Shape (and Beyond)
bamlss.engine.helpers | BAMLSS Engine Helper Functions
bamlss.engine.setup | BAMLSS Engine Setup Function
bamlss.family | Distribution Families in 'bamlss'
bamlss.formula | Formulae for BAMLSS
bamlss.frame | Create a Model Frame for BAMLSS
bamlss.model.frame | BAMLSS Model Frame
BayesX | Markov Chain Monte Carlo for BAMLSS using 'BayesX'
BayesX.control | Markov Chain Monte Carlo for BAMLSS using 'BayesX'
bayesx2 | Some Shortcuts
bboost | Bootstrap Boosting
bboost.plot | Bootstrap Boosting
beta_bamlss | Distribution Families in 'bamlss'
bfit | Fit BAMLSS with Backfitting
bfit_glmnet | Fit BAMLSS with Backfitting
bfit_iwls | Fit BAMLSS with Backfitting
bfit_iwls_lm | Fit BAMLSS with Backfitting
bfit_iwls_Matrix | Fit BAMLSS with Backfitting
bfit_iwls_optim | Fit BAMLSS with Backfitting
bfit_lm | Fit BAMLSS with Backfitting
bfit_optim | Fit BAMLSS with Backfitting
binomial_bamlss | Distribution Families in 'bamlss'
boost | Boosting BAMLSS
boost.frame | Boosting BAMLSS
boost.plot | Boosting BAMLSS
boost.summary | Boosting BAMLSS
boost2 | Some Shortcuts
boostm | Boosting BAMLSS
BUGSeta | Markov Chain Monte Carlo for BAMLSS using JAGS
BUGSmodel | Markov Chain Monte Carlo for BAMLSS using JAGS

## -- C --

c95 | Compute 95% Credible Interval and Mean
cnorm_bamlss | Distribution Families in 'bamlss'
coef.bamlss | Extract BAMLSS Coefficients
colorlegend | Plot a Color Legend
confint.bamlss | Extract BAMLSS Coefficients
continue | Continue Sampling
cox.mcmc | Cox Model Markov Chain Monte Carlo
cox.mode | Cox Model Posterior Mode Estimation
cox.predict | Cox Model Prediction
cox_bamlss | Distribution Families in 'bamlss'

## -- D --

DIC | Deviance Information Criterion
dl.bamlss | Deep Learning BAMLSS

## -- F --

family.bamlss | Distribution Families in 'bamlss'
family.bamlss.frame | Distribution Families in 'bamlss'
fitted.bamlss | BAMLSS Fitted Values

## -- G --

GAMart | GAM Artificial Data Set
gamma_bamlss | Distribution Families in 'bamlss'
gaussian2_bamlss | Distribution Families in 'bamlss'
Gaussian_bamlss | Distribution Families in 'bamlss'
gaussian_bamlss | Distribution Families in 'bamlss'
get.par | BAMLSS Engine Helper Functions
get.state | BAMLSS Engine Helper Functions
get_BayesXsrc | Markov Chain Monte Carlo for BAMLSS using 'BayesX'
gF | Get a BAMLSS Family
glogis_bamlss | Distribution Families in 'bamlss'
GMCMC | General Markov Chain Monte Carlo for BAMLSS
GMCMC_iwls | General Markov Chain Monte Carlo for BAMLSS
GMCMC_iwlsC | General Markov Chain Monte Carlo for BAMLSS
GMCMC_iwlsC_gp | General Markov Chain Monte Carlo for BAMLSS
GMCMC_slice | General Markov Chain Monte Carlo for BAMLSS
gpareto_bamlss | Distribution Families in 'bamlss'

## -- H --

homstart_data | HOMSTART Precipitation Data

## -- J --

JAGS | Markov Chain Monte Carlo for BAMLSS using JAGS
jm.mcmc | Fit Flexible Additive Joint Models
jm.mode | Fit Flexible Additive Joint Models
jm.predict | Fit Flexible Additive Joint Models
jm.survplot | Fit Flexible Additive Joint Models
jm.transform | Fit Flexible Additive Joint Models
jm_bamlss | Fit Flexible Additive Joint Models

## -- L --

la | Lasso Smooth Constructor
lasso | Lasso Smooth Constructor
lasso.coef | Lasso Smooth Constructor
lasso.plot | Lasso Smooth Constructor
lasso.stop | Lasso Smooth Constructor
lasso.transform | Lasso Smooth Constructor
lasso2 | Some Shortcuts
lin | Linear Effects for BAMLSS
LondonBoroughs | London Fire Data
LondonBoundaries | London Fire Data
LondonFire | London Fire Data
LondonFStations | London Fire Data

## -- M --

make_weights | Neural Networks for BAMLSS
model.frame.bamlss | BAMLSS Model Frame
model.frame.bamlss.frame | BAMLSS Model Frame
model.matrix.bamlss.formula | Construct/Extract BAMLSS Design Matrices
model.matrix.bamlss.frame | Construct/Extract BAMLSS Design Matrices
model.matrix.bamlss.terms | Construct/Extract BAMLSS Design Matrices
multinomial_bamlss | Distribution Families in 'bamlss'
MVNORM | Create Samples for BAMLSS by Multivariate Normal Approximation
mvnormAR1_bamlss | Distribution Families in 'bamlss'
mvnorm_bamlss | Distribution Families in 'bamlss'

## -- N --

n | Neural Networks for BAMLSS
n.weights | Neural Networks for BAMLSS
neighbormatrix | Compute a Neighborhood Matrix from Spatial Polygons

## -- P --

parameters | Extract or Initialize Parameters for BAMLSS
plot.bamlss | Plotting BAMLSS
plot.bamlss.residuals | Compute BAMLSS Residuals
plot.bamlss.results | Plotting BAMLSS
plot.boost.summary | Boosting BAMLSS
plot.stabsel | Stability selection.
plot2d | Plot 2D Effects
plot3d | Plot 3D Effects
plotblock | Factor Variable and Random Effects Plots
plotmap | Plot Maps
plotneighbors | Compute a Neighborhood Matrix from Spatial Polygons
plotnonp | Plot 2D Effects
poisson_bamlss | Distribution Families in 'bamlss'
predict.bamlss | BAMLSS Prediction
predict.bboost | Bootstrap Boosting
predict.dl.bamlss | Deep Learning BAMLSS
Predict.matrix.kriging.smooth | Kriging Smooth Constructor
Predict.matrix.tensorX.smooth | Markov Chain Monte Carlo for BAMLSS using 'BayesX'
Predict.matrix.tensorX3.smooth | Markov Chain Monte Carlo for BAMLSS using 'BayesX'
predictn | Neural Networks for BAMLSS
print.boost.summary | Boosting BAMLSS
print.summary.bamlss | Summary for BAMLSS

## -- Q --

quant_bamlss | Markov Chain Monte Carlo for BAMLSS using 'BayesX'

## -- R --

randomize | Transform Smooth Constructs to Random Effects
rb | Random Bits for BAMLSS
residuals.bamlss | Compute BAMLSS Residuals
results.bamlss.default | Compute BAMLSS Results for Plotting and Summaries
rJM | Simulate longitudinal and survival data for joint models
rmf | Remove Special Characters
rSurvTime2 | Simulate Survival Times

## -- S --

s2 | Special Smooths in BAMLSS Formulae
samples | Extract Samples
samples.bamlss | Extract Samples
samples.bamlss.frame | Extract Samples
samplestats | Sampling Statistics
scale2 | Scaling Vectors and Matrices
set.par | BAMLSS Engine Helper Functions
set.starting.values | BAMLSS Engine Helper Functions
simJM | Simulate longitudinal and survival data for joint models
simSurv | Simulate Survival Times
sliceplot | Plot Slices of Bivariate Functions
smooth.construct | Constructor Functions for Smooth Terms in BAMLSS
smooth.construct.bamlss.formula | Constructor Functions for Smooth Terms in BAMLSS
smooth.construct.bamlss.frame | Constructor Functions for Smooth Terms in BAMLSS
smooth.construct.bamlss.terms | Constructor Functions for Smooth Terms in BAMLSS
smooth.construct.kr.smooth.spec | Kriging Smooth Constructor
smooth.construct.linear.smooth.spec | Linear Effects for BAMLSS
smooth.construct.randombits.smooth.spec | Random Bits for BAMLSS
smooth.construct.sr.smooth.spec | Random Effects P-Spline
smooth.construct.tensorX.smooth.spec | Markov Chain Monte Carlo for BAMLSS using 'BayesX'
smooth.construct.tensorX3.smooth.spec | Markov Chain Monte Carlo for BAMLSS using 'BayesX'
stabsel | Stability selection.
summary.bamlss | Summary for BAMLSS
surv.transform | Survival Model Transformer Function
Surv2 | Create a Survival Object for Joint Models
sx | Markov Chain Monte Carlo for BAMLSS using 'BayesX'

## -- T --

terms.bamlss | BAMLSS Model Terms
terms.bamlss.formula | BAMLSS Model Terms
terms.bamlss.frame | BAMLSS Model Terms
tx | Markov Chain Monte Carlo for BAMLSS using 'BayesX'
tx2 | Markov Chain Monte Carlo for BAMLSS using 'BayesX'
tx3 | Markov Chain Monte Carlo for BAMLSS using 'BayesX'
tx4 | Markov Chain Monte Carlo for BAMLSS using 'BayesX'

## -- V --

Volcano | Artificial Data Set based on Auckland's Maunga Whau Volcano