growfunctions: Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data
Version 0.13

Estimates a collection of time-indexed functions under either of Gaussian process (GP) or intrinsic Gaussian Markov random field (iGMRF) prior formulations where a Dirichlet process mixture allows sub-groupings of the functions to share the same covariance or precision parameters. The GP and iGMRF formulations both support any number of additive covariance or precision terms, respectively, expressing either or both of multiple trend and seasonality.

Browse man pages Browse package API and functions Browse package files

AuthorTerrance Savitsky
Date of publication2016-08-16 01:53:09
MaintainerTerrance Savitsky <tds151@gmail.com>
LicenseGPL (>= 3)
Version0.13
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("growfunctions")

Man pages

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...
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, facetted 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

Functions

MSPE Man page Source code
cluster_plot Man page Source code
cps Man page
fit_compare Man page Source code
gen_informative_sample Man page Source code
gmrfdpPost Man page Source code
gmrfdpgrow Man page Source code
gmrfdpgrow.default Source code
gpBFixPost Man page Source code
gpFixPost Man page Source code
gpPost Man page Source code
gpdpPost Man page Source code
gpdpbPost Man page Source code
gpdpgrow Man page Source code
gpdpgrow.default Source code
growfunctions Man page
growfunctions-package Man page
informative_plot Man page Source code
package-growfunctions Man page
plot_cluster Man page Source code
predict_functions Man page Source code
predict_functions.gmrfdpgrow Man page Source code
predict_functions.gpdpgrow Man page Source code
predict_plot Man page Source code
samples Man page Source code
samples.gmrfdpgrow Man page Source code
samples.gpdpgrow Man page Source code

Files

inst
inst/CITATION
tests
tests/testthat
tests/testthat/test-gmrfdpgrow.R
tests/testthat/test-gpdpgrow.R
tests/test-all.R
src
src/utility.cpp
src/growfunctions.h
src/gp.cpp
src/Makevars
src/gpdpbmix.cpp
src/dpmix_moves.cpp
src/gpdpmix.cpp
src/dpmix.cpp
src/gpdpmix_moves.cpp
src/gen_bb.cpp
src/gpbfix.cpp
src/gpfix.cpp
src/Makevars.win
src/lsqcluster_cpp.cpp
NAMESPACE
NEWS
data
data/cps.RData
R
R/gpdpgrow.R
R/plot_cluster.R
R/gen_informative_sample.R
R/gp_cluster_plot.R
R/gmrfdpgrow.R
R/gp_informative_compare_plot.R
R/cps.R
R/help.R
R/predict_plot.R
R/MSPE.R
R/gp_car_fit_compare_facet.R
MD5
build
build/partial.rdb
DESCRIPTION
man
man/growfunctions-package.Rd
man/gpFixPost.Rd
man/gpdpPost.Rd
man/MSPE.Rd
man/samples.gmrfdpgrow.Rd
man/plot_cluster.Rd
man/informative_plot.Rd
man/gmrfdpPost.Rd
man/gmrfdpgrow.Rd
man/cps.Rd
man/gpBFixPost.Rd
man/gen_informative_sample.Rd
man/predict_plot.Rd
man/predict_functions.gpdpgrow.Rd
man/gpPost.Rd
man/gpdpgrow.Rd
man/fit_compare.Rd
man/samples.Rd
man/gpdpbPost.Rd
man/cluster_plot.Rd
man/predict_functions.Rd
man/predict_functions.gmrfdpgrow.Rd
growfunctions documentation built on May 19, 2017, 10:28 p.m.