Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data
Overview
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.
- Changes Rcpp::arma::is_finite(X) to X.is_finite() in dpmix.cpp and dpmix_count.cpp
- Added an Authors@R tag in DESCRIPTION
- Replaced "size" option in geom_line with "linewidth" in gp_cluster_plot.R
From NEWS.md in the release
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Documentation
- Help pages
- 23includes a package overview page
- Examples that run
- 55%6 run in a plain check · 5 never run
- Exported functions with examples
- 44%
- Documented parameters
- 99%
- Return-value docs
- 89%
- Help pages citing references
- 9%
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- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2026-02-13issues were not corrected in time
- 0.172025-11-14 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.162023-12-12 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.152021-07-16 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.14
- RR 3.4.0 released · 2017-04-21
- 0.132016-08-16 · diff ↗
Package metadata
- First published
- 2014-08-01
- Total releases
- 8 / 12 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.2.2
- Bundled data
- 154 KB / 1 file
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Run in R for the authors' entry:
citation("growfunctions")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v072.i02.
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