R Observatory: Metrics for FastGP version 1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FastGP

1.5Package record

Efficiently Using Gaussian Processes with Rcpp and RcppEigen

3packages dependsuggested by 1

5.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Giri GopalanCRAN page ↗

Contains Rcpp and RcppEigen implementations of matrix operations useful for Gaussian process models, such as the inverse and determinant of a symmetric and positive-definite Toeplitz matrix, sampling from multivariate normal distributions, evaluation of the log-density of a multivariate normal vector, and Bayesian inference for latent variable Gaussian process models with elliptical slice sampling (Murray, Adams, and MacKay 2010).

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("FastGP", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-fastgp

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-FastGP

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-FastGP

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.2 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-05-06
NOTE8 OK, 6 NOTE2026-04-22
ERROR7 OK, 6 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE8 OK, 6 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.5

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 3
Examples that run: 100%3 run in a plain check
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 0%

Also includes 1 demo script (run with demo())

How these are measured

Downloads

5.3K

CRAN downloads in the past year

Rank #4,962 · ~15/day · ~443/mo

Releases R versions

Daily download trend is not available in this view yet.

64430 days

1.7K90 days

5.3K1 year

Compare downloads with other packages →

Also on475 r2u5 autocran

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing FastGP adds 3 packages (3 with compiled code, 4.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, mvtnorm 1.0 MB.

Depends (0)

none

Imports (4)

RcppMASSmvtnormstats

LinkingTo (2)

Rcpp RcppEigen

Suggests (1)

microbenchmark

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

0indirect

Imports 3

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

GeoModels TAG BayesMFSurv

Suggests, most downloaded first

countSTAR

How these are counted

Code & Tests

People & History

People (2)

Giri Gopalan

Author, Maintainer since 1.0 (2015)

Luke Bornn

Author

Releases (7)

Pick two releases to compare their code metrics.

1.5Latest
record
2026-10-17 · current release · diff ↗ ·
listed once in CRAN's queue
Seen in one reading of CRAN's incoming queue, at 2026-10-17 17:40 UTC, so it stayed less than the time between readings.
1.4
record
2026-09-20 · diff ↗
1.3
record
2026-04-29 · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
1.2
record
2016-02-02 · diff ↗
1.1.2
record
2015-10-25 · diff ↗

Show 3 earlier eventsHide 3 earlier events

1.1
record
2015-07-27 · diff ↗
1.0
record
2015-07-23
R
R 3.2.0 released · 2015-04-16

Across CRAN, the median accepted release of the past year spent 26 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2015-07-23
Total releases: 7 / 11 yrs
License: GPL-2 OSI
Download size: 320 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FastGP")

Format

Gopalan, G., & Bornn, L. (2026). FastGP: Efficiently Using Gaussian Processes with Rcpp and RcppEigen (Version 1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.FastGP

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FastGP version 1.5 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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