Man pages for growfunctions
Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data
| cluster_plot | Plot estimated functions for experimental units faceted by... |
| cps | Monthly employment counts from 1990 - 2013 from the Current... |
| fit_compare | Side-by-side plot panels that compare latent function values... |
| gen_informative_sample | Generate a finite population and take an informative single... |
| gmrfdpcountPost | Run a Bayesian functional data model under an instrinsic GMRF... |
| gmrfdpgrow | Bayesian instrinsic Gaussian Markov Random Field model for... |
| gmrfdpPost | Run a Bayesian functional data model under an instrinsic GMRF... |
| gpBFixPost | Run a Bayesian functional data model under a GP prior with a... |
| gpdpbPost | Run a Bayesian functional data model under a GP prior whose... |
| gpdpgrow | Bayesian non-parametric dependent Gaussian process model for... |
| gpdpPost | Run a Bayesian functional data model under a GP prior whose... |
| gpFixPost | Run a Bayesian functional data model under a GP prior whose... |
| gpPost | Run a Bayesian functional data model under a GP prior whose... |
| growfunctions-package | Bayesian Non-Parametric Models for Estimating a Set of... |
| informative_plot | Plot credible intervals for parameters to compare ignoring... |
| MSPE | Compute normalized mean squared prediction error based on... |
| plot_cluster | Plot estimated functions, faceted by cluster numbers, for a... |
| predict_functions | Use the model-estimated covariance parameters from gpdpgrow()... |
| predict_functions.gmrfdpgrow | Use the model-estimated iGMRF precision parameters from... |
| predict_functions.gpdpgrow | Use the model-estimated GP covariance parameters from... |
| predict_plot | Plot estimated functions both at estimated and predicted time... |
| samples | Produce samples of MCMC output |
| samples.gmrfdpgrow | Produce samples of MCMC output |
