BAMLSS                  Create 'distributions3' Object
CRPS                    Continuous Rank Probability Score
Crazy                   Crazy simulated data
DIC                     Deviance Information Criterion
GAMart                  GAM Artificial Data Set
Golf                    Prices of Used Cars Data
LondonFire              London Fire Data
Surv2                   Create a Survival Object for Joint Models
TempIbk                 Temperature data.
Volcano                 Artificial Data Set based on Auckland's Maunga
                        Whau Volcano
WAIC                    Watanabe-Akaike Information Criterion (WAIC)
bamlss                  Fit Bayesian Additive Models for Location Scale
                        and Shape (and Beyond)
bamlss-package          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.formula          Formulae for BAMLSS
bamlss.frame            Create a Model Frame for BAMLSS
bboost                  Bootstrap Boosting
boost2                  Some Shortcuts
c95                     Compute 95% Credible Interval and Mean
coef.bamlss             Extract BAMLSS Coefficients
colorlegend             Plot a Color Legend
continue                Continue Sampling
cox_predict             Cox Model Prediction
ddnn                    Deep Distributional Neural Network
dist_mvnchol            Cholesky MVN (disttree)
engines                 Show Available Engines for a Family Object
family.bamlss           Distribution Families in 'bamlss'
fatalities              Weekly Number of Fatalities in Austria
fitted.bamlss           BAMLSS Fitted Values
gF                      Get a BAMLSS Family
gamlss_distributions    Extract Distribution families of the
                        'gamlss.dist' Package
homstart_data           HOMSTART Precipitation Data
jm_bamlss               Fit Flexible Additive Joint Models
la                      Lasso Smooth Constructor
lin                     Linear Effects for BAMLSS
make_formula            Formula Generator
model.frame.bamlss      BAMLSS Model Frame
model.matrix.bamlss.frame
                        Construct/Extract BAMLSS Design Matrices
mvn_chol                Cholesky MVN
mvn_modchol             Modified Cholesky MVN
mvnchol_bamlss          Cholesky MVN
n                       Neural Networks for BAMLSS
neighbormatrix          Compute a Neighborhood Matrix from Spatial
                        Polygons
opt_Cox                 Cox Model Posterior Mode Estimation
opt_bbfit               Batchwise Backfitting
opt_bfit                Fit BAMLSS with Backfitting
opt_boost               Boosting BAMLSS
opt_isgd                Implicit Stochastic Gradient Descent Optimizer
parameters              Extract or Initialize Parameters for BAMLSS
pathplot                Plot Coefficients Paths
plot.bamlss             Plotting BAMLSS
plot2d                  Plot 2D Effects
plot3d                  Plot 3D Effects
plotblock               Factor Variable and Random Effects Plots
plotmap                 Plot Maps
predict.bamlss          BAMLSS Prediction
randomize               Transform Smooth Constructs to Random Effects
rb                      Random Bits for BAMLSS
residuals.bamlss        Compute BAMLSS Residuals
response_name           Extract the reponse name of a 'bamlss.frame'
                        object.
results.bamlss.default
                        Compute BAMLSS Results for Plotting and
                        Summaries
rmf                     Remove Special Characters
s2                      Special Smooths in BAMLSS Formulae
sam_BayesX              Markov Chain Monte Carlo for BAMLSS using
                        'BayesX'
sam_Cox                 Cox Model Markov Chain Monte Carlo
sam_GMCMC               General Markov Chain Monte Carlo for BAMLSS
sam_JAGS                Markov Chain Monte Carlo for BAMLSS using JAGS
sam_MVNORM              Create Samples for BAMLSS by Multivariate
                        Normal Approximation
samples                 Extract Samples
samplestats             Sampling Statistics
scale2                  Scaling Vectors and Matrices
simJM                   Simulate longitudinal and survival data for
                        joint models
simSurv                 Simulate Survival Times
simdata                 Reference data.
sliceplot               Plot Slices of Bivariate Functions
smooth.construct        Constructor Functions for Smooth Terms in
                        BAMLSS
smooth.construct.kr.smooth.spec
                        Kriging Smooth Constructor
smooth.construct.ms.smooth.spec
                        Smooth constructor for monotonic P-splines
smooth.construct.sr.smooth.spec
                        Random Effects P-Spline
smooth_check            MCMC Based Simple Significance Check for Smooth
                        Terms
stabsel                 Stability selection.
summary.bamlss          Summary for BAMLSS
surv_transform          Survival Model Transformer Function
terms.bamlss            BAMLSS Model Terms
trans_AR1               AR1 Transformer Function
