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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) |
| Austria | Austria States and Topography |
| AustriaTopo | Austria States and Topography |
| 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 |
| 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' |
| DIC | Deviance Information Criterion |
| dl.bamlss | Deep Learning BAMLSS |
| family.bamlss | Distribution Families in 'bamlss' |
| family.bamlss.frame | Distribution Families in 'bamlss' |
| fitted.bamlss | BAMLSS Fitted Values |
| 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' |
| homstart_data | HOMSTART Precipitation Data |
| 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 |
| 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 |
| 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 | Neural Networks for BAMLSS |
| n.weights | Neural Networks for BAMLSS |
| neighbormatrix | Compute a Neighborhood Matrix from Spatial Polygons |
| 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 |
| quant_bamlss | Markov Chain Monte Carlo for BAMLSS using 'BayesX' |
| 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 |
| 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' |
| 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' |
| Volcano | Artificial Data Set based on Auckland's Maunga Whau Volcano |