R Observatory: Metrics for evgam version 1.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

evgam

1.0.2Package record

Generalised Additive Extreme Value Models

2packages depend

46.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Ben YoungmanCRAN page ↗

Methods for fitting various extreme value distributions with parameters of generalised additive model (GAM) form are provided. For details of distributions see Coles, S.G. (2001) doi:10.1007/978-1-4471-3675-0, GAMs see Wood, S.N. (2017) doi:10.1201/9781315370279, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) doi:10.1080/01621459.2016.1180986. Details of how evgam works and various examples are given in Youngman, B.D. (2022) doi:10.18637/jss.v103.i03.

Changes in 1.0.2

Changes:

Smooths can now use id argument of mgcv::s() to allow multiple smooths to have same smoothing parameter.
Objects in workspace can now be used in evgam()'s formula argument (as opposed to all variables needing to be part of data).
Added function and class geoevgam with S3 method plot for fitting and plotting geometric extreme value models. (Thanks to Callum Murphy-Barltrop, Jenny Wadsworth and Miguel de Carvalho.)
Added type = 'qqplot2' to predict() for residual-based QQ-plots. (Thanks to Jenny Wadsworth.)
Added family = 'gw' for fitting generalised Weibull distribution. (Thanks to Cees de Valk.)
Added family = 'poisson' for fitting Poisson distribution.
Added args(dist = 'aggauss') for fitting family = 'condex' with asymmetric generalised Gaussian residuals. (Thanks again to Kristina Bratkova and Aiden Farrell.)
Added family = 'aggauss' for fitting asymmetric generalised Gaussian distribution. (Thanks to Kristina Bratkova and Aiden Farrell.)
GPD model with shape parameter constrained to [-0.5, 1.0] added with family = "gpd2".
Added ltgamma and ltgammab families for the left truncated gamma distribution with unknown and know shape, respectively. Use args = list(lower = ) to give the scalar, vector or matrix of left-truncation points, and args = list(alpha = ) to give scalar, vector or matrix of gamma distribution shape parameters with family ltgammab.
Added condex family, for conditional extreme value model of Heffernan and Tawn (2004, https://doi.org/10.1111/j.1467-9868.2004.02050.x). For an example see https://byoungman.github.io/evgam/condex/.

Show all changes in 1.0.2Hide the rest of the changes in 1.0.2

Added beta and logitgauss families.
Added option sparse = TRUE, which coerces matrices to sparse matrices through package Matrix where possible. Particularly useful for bs = 're' or bs = 'mrf'.
Added df2matdf() for turning a vector response to a matrix response if explanatory variable combinations are repeated.
Added functionality to fit extended generalised Pareto distribution through evgam(..., family = "egpd"). See Naveau et al. (W2016, https://doi.org/10.1002/2015WR018552) and family.evgam. (Thanks to Touqeer Ahmad.)
Added functionality to fit blended generalised extreme value (GEV) distribution through evgam(..., family = "bgev"). See Castro-Camilo et al. (2022, https://doi.org/10.1002/env.2742) and family.evgam. (Thanks to Jordan Richards.)
Also added dbgev(), pbgev(), qbgev() and rbgev() for density, distribution function, quantile function and random generation, respectively, for the blended GEV distribution.
Added functionality to fit models via custom likelihood functions, i.e. extending those available in evgam through family = .... See custom.family.evgam.
Added functionality to constrain both GPD parameters using gpd.args = list(lower = ..., upper = ...). (Thanks to Callum Murphy-Barltrop.)
GEV model with shape parameter constrained to [-0.5, 1.0] added with family = "gev2".

Bug fixes:

Slight change to calculation of log determinant of penalty matrices and their derivatives for tensor smooths. Should implement algorithm in Appendix B of Wood (2011, https://doi.org/10.1111/j.1467-9868.2010.00749.x)
That only variables are checked as being supplied to data is now properly detected. (Thanks, Simon Brown.)
That values of smoothing parameters supplied to evgam() are properly recognised has been fixed.

From NEWS.md in the release

Install

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

install.packages("evgam", 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-evgam

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-evgam

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-evgam

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: 11.5 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-09
NOTE11 OK, 2 NOTE2026-07-16
OK13 OK2026-06-09
WARNING12 OK, 1 WARNING2026-06-08
OK12 OK2026-04-25

Show 3 earlier changesHide 3 earlier changes

NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.2

READMENoVignettesNoNEWSYes · 100% structured · mentions 1.0.2Citation fileNoWebsitenot declared in DESCRIPTION

Description cites a JSS article

Help pages: 31 (1 internal)includes a package overview page
Examples that run: 100%25 run in a plain check
Exported functions with examples: 75%
Documented parameters: 82%
Return-value docs: 100%
Help pages citing references: 35%

How these are measured

Downloads

46.3K

CRAN downloads in the past year

Rank #1,880 · ~127/day · ~3.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

3.4K30 days

10.5K90 days

46.3K1 year

Compare downloads with other packages →

Also on512 r2u5 autocran147 c2d4u

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing evgam adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)

R >= 3.5.0

Imports (4)

RcppmgcvMatrixmethods

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

9indirect

Imports 2

Depends, Imports or LinkingTo, most downloaded first

ftsa ppgam

How these are counted

Code & Tests

Datasets

People & History

People (1)

Ben Youngman

Author, Maintainer since 0.1.0 (2020)

Releases (7)

Pick two releases to compare their code metrics.

1.0.2Latest
record
2026-09-03 · current release · diff ↗ ·
removed 1 export
fevgam

added 15 exports
bgev2gev, dbgev, df2matdf, dlaplace, evgam.control, geoevgam, gev2bgev, pbgev, plaplace, polarise, qbgev, qlaplace, rbgev, rlaplace, rmvnorm
R
R 4.6.0 released · 2026-04-24
1.0.1
record
2025-09-23 · diff ↗
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
1.0.0
record
2022-06-28 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.1.4
record
2020-08-26 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1.2
record
2020-04-19 · diff ↗ ·
removed 1 export
extremal0
0.1.1
record
2020-03-15 · diff ↗
0.1.0
record
2020-03-08
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2020-03-08
Total releases: 7 / 6 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 491 KB / 3 files
Download size: 790 KB

Appears in task views

Extreme Value Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("evgam")

Format

Youngman, B. (2026). evgam: Generalised Additive Extreme Value Models (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.evgam

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 evgam version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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