CRAN/E | growfunctions

growfunctions

Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data

Installation

About

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.

Citation growfunctions citation info

Key Metrics

Version 0.16
R ≥ 3.2.2
Published 2023-12-12 146 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks growfunctions results

Downloads

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Maintainer

Maintainer

Terrance Savitsky

tds151@gmail.com

Authors

Terrance Savitsky

Material

NEWS
Reference manual
Package source

In Views

FunctionalData

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

growfunctions archive

Depends

R ≥ 3.2.2
Rcpp ≥ 0.11.6

Imports

spam ≥ 2.7-0
ggplot2 ≥ 1.0.1
reshape2 ≥ 1.2.2

Suggests

testthat ≥ 0.8.1

LinkingTo

Rcpp ≥ 0.12.16
RcppArmadillo ≥ 0.8.400.0.0