Man pages for bamlss
Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
| AR1_transform | AR1 Transformer Function |
| bamlss | Fit Bayesian Additive Models for Location Scale and Shape... |
| 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 |
| bamlss-package | Bayesian Additive Models for Location Scale and Shape (and... |
| BayesX | Markov Chain Monte Carlo for BAMLSS using 'BayesX' |
| bbfit | Batchwise Backfitting |
| bboost | Bootstrap Boosting |
| bfit | Fit BAMLSS with Backfitting |
| boost | Boosting BAMLSS |
| c95 | Compute 95% Credible Interval and Mean |
| coef.bamlss | Extract BAMLSS Coefficients |
| colorlegend | Plot a Color Legend |
| continue | Continue Sampling |
| 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 |
| ddnn | Deep Distributional Neural Network |
| DIC | Deviance Information Criterion |
| 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 |
| GAMart | GAM Artificial Data Set |
| gamlss_distributions | Extract Distribution families of the 'gamlss.dist' Package |
| gF | Get a BAMLSS Family |
| GMCMC | General Markov Chain Monte Carlo for BAMLSS |
| Golf | Prices of Used Cars Data |
| homstart_data | HOMSTART Precipitation Data |
| isgd | Implicit Stochastic Gradient Descent Optimizer |
| JAGS | Markov Chain Monte Carlo for BAMLSS using JAGS |
| jm_bamlss | Fit Flexible Additive Joint Models |
| kr | Kriging Smooth Constructor |
| lasso | Lasso Smooth Constructor |
| lin | Linear Effects for BAMLSS |
| LondonFire | London Fire Data |
| make_formula | Formula Generator |
| model.frame.bamlss | BAMLSS Model Frame |
| model.matrix.bamlss.frame | Construct/Extract BAMLSS Design Matrices |
| mvn_chol | Cholesky MVN |
| mvnchol_bamlss | Cholesky MVN |
| mvn_modchol | Modified Cholesky MVN |
| MVNORM | Create Samples for BAMLSS by Multivariate Normal... |
| n | Neural Networks for BAMLSS |
| neighbormatrix | Compute a Neighborhood Matrix from Spatial Polygons |
| parameters | Extract or Initialize Parameters for BAMLSS |
| pathplot | Plot Coefficients Paths |
| plot2d | Plot 2D Effects |
| plot3d | Plot 3D Effects |
| plot.bamlss | Plotting BAMLSS |
| 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 |
| samples | Extract Samples |
| samplestats | Sampling Statistics |
| scale2 | Scaling Vectors and Matrices |
| shortcuts | Some Shortcuts |
| simdata | Reference data. |
| simJM | Simulate longitudinal and survival data for joint models |
| simSurv | Simulate Survival Times |
| sliceplot | Plot Slices of Bivariate Functions |
| smooth_check | MCMC Based Simple Significance Check for Smooth Terms |
| smooth.construct | Constructor Functions for Smooth Terms in BAMLSS |
| smooth.construct.ms.smooth.spec | Smooth constructor for monotonic P-splines |
| sr | Random Effects P-Spline |
| stabsel | Stability selection. |
| summary.bamlss | Summary for BAMLSS |
| Surv2 | Create a Survival Object for Joint Models |
| surv.transform | Survival Model Transformer Function |
| TempIbk | Temperature data. |
| terms.bamlss | BAMLSS Model Terms |
| topmodels | Create 'distributions3' Object |
| Volcano | Artificial Data Set based on Auckland's Maunga Whau Volcano |
| WAIC | Watanabe-Akaike Information Criterion (WAIC) |
