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

Documentation for package ‘bamlss’ version 1.2-4

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A B C D E F G H I J K L M N O P Q R S T V W Z

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

-- A --

ALD_bamlss	Distribution Families in 'bamlss'
AR1	AR1 Transformer Function
AR1_bamlss	Distribution Families in 'bamlss'

-- B --

BAMLSS	Create 'distributions3' Object
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
bbfit	Batchwise Backfitting
bbfitp	Batchwise Backfitting
bboost	Bootstrap Boosting
bboost_plot	Bootstrap Boosting
beta1_bamlss	Distribution Families in 'bamlss'
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
boost2	Some Shortcuts
boostm	Boosting BAMLSS
boost_frame	Boosting BAMLSS
boost_plot	Boosting BAMLSS
boost_summary	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
cdf.BAMLSS	Create 'distributions3' Object
cnorm_bamlss	Distribution Families in 'bamlss'
coef.bamlss	Extract BAMLSS Coefficients
colorlegend	Plot a Color Legend
confint.bamlss	Extract BAMLSS Coefficients
continue	Continue Sampling
contribplot	Batchwise Backfitting
cox_bamlss	Distribution Families in 'bamlss'
cox_mcmc	Cox Model Markov Chain Monte Carlo
cox_mode	Cox Model Posterior Mode Estimation
cox_predict	Cox Model Prediction
Crazy	Crazy simulated data
CRPS	Continuous Rank Probability Score
cv_ddnn	Deep Distributional Neural Network

-- D --

ddnn	Deep Distributional Neural Network
DGP_bamlss	Distribution Families in 'bamlss'
DIC	Deviance Information Criterion
dirichlet_bamlss	Distribution Families in 'bamlss'
dist_mvnchol	Cholesky MVN (disttree)
dw_bamlss	Distribution Families in 'bamlss'

-- E --

ELF_bamlss	Distribution Families in 'bamlss'
engines	Show Available Engines for a Family Object

-- F --

family.BAMLSS	Create 'distributions3' Object
family.bamlss	Distribution Families in 'bamlss'
family.bamlss.frame	Distribution Families in 'bamlss'
fatalities	Weekly Number of Fatalities in Austria
fitted.bamlss	BAMLSS Fitted Values
format.BAMLSS	Create 'distributions3' Object

-- G --

GAMart	GAM Artificial Data Set
gamlss_distributions	Extract Distribution families of the 'gamlss.dist' Package
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'
GEV_bamlss	Distribution Families in 'bamlss'
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
Golf	Prices of Used Cars Data
gpareto_bamlss	Distribution Families in 'bamlss'
gumbel_bamlss	Distribution Families in 'bamlss'

-- H --

homstart_data

HOMSTART Precipitation Data

-- I --

isgd	Implicit Stochastic Gradient Descent Optimizer
is_continuous.BAMLSS	Create 'distributions3' Object
is_discrete.BAMLSS	Create 'distributions3' Object

-- J --

JAGS	Markov Chain Monte Carlo for BAMLSS using JAGS
jm_bamlss	Fit Flexible Additive Joint Models
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

-- K --

kurtosis.BAMLSS

Create 'distributions3' Object

-- L --

la	Lasso Smooth Constructor
lasso	Lasso Smooth Constructor
lasso2	Some Shortcuts
lasso_coef	Lasso Smooth Constructor
lasso_plot	Lasso Smooth Constructor
lasso_stop	Lasso Smooth Constructor
lasso_transform	Lasso Smooth Constructor
lin	Linear Effects for BAMLSS
logNN_bamlss	Distribution Families in 'bamlss'
lognormal_bamlss	Distribution Families in 'bamlss'
log_pdf.BAMLSS	Create 'distributions3' Object
LondonBoroughs	London Fire Data
LondonBoundaries	London Fire Data
LondonFire	London Fire Data
LondonFStations	London Fire Data

-- M --

make_formula	Formula Generator
make_weights	Neural Networks for BAMLSS
mean.BAMLSS	Create 'distributions3' Object
mix_bamlss	Distribution Families in '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'
mvnchol_bamlss	Cholesky MVN
MVNORM	Create Samples for BAMLSS by Multivariate Normal Approximation
mvnormAR1_bamlss	Distribution Families in 'bamlss'
mvnorm_bamlss	Distribution Families in 'bamlss'
mvn_chol	Cholesky MVN
mvn_modchol	Modified Cholesky MVN

-- N --

n	Neural Networks for BAMLSS
n.weights	Neural Networks for BAMLSS
nbinom_bamlss	Distribution Families in 'bamlss'
neighbormatrix	Compute a Neighborhood Matrix from Spatial Polygons

-- O --

opt_bbfit	Batchwise Backfitting
opt_bbfitp	Batchwise Backfitting
opt_bfit	Fit BAMLSS with Backfitting
opt_boost	Boosting BAMLSS
opt_boostm	Boosting BAMLSS
opt_Cox	Cox Model Posterior Mode Estimation
opt_isgd	Implicit Stochastic Gradient Descent Optimizer
opt_JM	Fit Flexible Additive Joint Models
opt_lasso	Lasso Smooth Constructor

-- P --

parameters	Extract or Initialize Parameters for BAMLSS
pathplot	Plot Coefficients Paths
pdf.BAMLSS	Create 'distributions3' Object
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.ddnn	Deep Distributional Neural Network
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.BAMLSS	Create 'distributions3' Object
print.boost_summary	Boosting BAMLSS
print.summary.bamlss	Summary for BAMLSS

-- Q --

quantile.BAMLSS	Create 'distributions3' Object
quant_bamlss	Markov Chain Monte Carlo for BAMLSS using 'BayesX'

-- R --

random.BAMLSS	Create 'distributions3' Object
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
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
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_JM	Fit Flexible Additive Joint Models
sam_MVNORM	Create Samples for BAMLSS by Multivariate Normal Approximation
scale2	Scaling Vectors and Matrices
set.par	BAMLSS Engine Helper Functions
set.starting.values	BAMLSS Engine Helper Functions
Sichel_bamlss	Distribution Families in 'bamlss'
simdata	Reference data.
simJM	Simulate longitudinal and survival data for joint models
simSurv	Simulate Survival Times
skewness.BAMLSS	Create 'distributions3' Object
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.ms.smooth.spec	Smooth constructor for monotonic P-splines
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'
smooth_check	MCMC Based Simple Significance Check for Smooth Terms
stabsel	Stability selection.
summary.bamlss	Summary for BAMLSS
support.BAMLSS	Create 'distributions3' Object
Surv2	Create a Survival Object for Joint Models
surv_transform	Survival Model Transformer Function
sx	Markov Chain Monte Carlo for BAMLSS using 'BayesX'

-- T --

TempIbk	Temperature data.
terms.bamlss	BAMLSS Model Terms
terms.bamlss.formula	BAMLSS Model Terms
terms.bamlss.frame	BAMLSS Model Terms
trans_AR1	AR1 Transformer Function
trans_random	Transform Smooth Constructs to Random Effects
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 --

variance.BAMLSS	Create 'distributions3' Object
Volcano	Artificial Data Set based on Auckland's Maunga Whau Volcano

-- W --

WAIC	Watanabe-Akaike Information Criterion (WAIC)
weibull_bamlss	Distribution Families in 'bamlss'

-- Z --

ZANBI_bamlss	Distribution Families in 'bamlss'
ztnbinom_bamlss	Distribution Families in 'bamlss'