R Observatory: Metrics for eva version 0.2.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

eva

0.2.7Package record

Extreme Value Analysis with Goodness-of-Fit Testing

1packages dependsuggested by 1

7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Brian BaderCRAN page ↗GitHub ↗Issues ↗

Goodness-of-fit tests for selection of r in the r-largest order statistics (GEVr) model. Goodness-of-fit tests for threshold selection in the Generalized Pareto distribution (GPD). Random number generation and density functions for the GEVr distribution. Profile likelihood for return level estimation using the GEVr and Generalized Pareto distributions. P-value adjustments for sequential, multiple testing error control. Non-stationary fitting of GEVr and GPD. Bader, B., Yan, J. & Zhang, X. (2016) doi:10.1007/s11222-016-9697-3. Bader, B., Yan, J. & Zhang, X. (2018) doi:10.1214/17-AOAS1092.

Changes in 0.2.7

Bug fixes

gpdFit(): fixed parameter initialization when starting values are supplied via the start argument; start is now correctly split into scale and shape components instead of being passed through unprocessed (#6).
Sequential tests: fixed an erroneous double rev() in the ForwardStop / StrongStop computation of gpdSeqTests() and gevrSeqTests(). As a result, pSeqStop() now takes p-values in the order the hypotheses are tested and preserves that order (previously it expected pre-reversed input).
gevrFit(): the variance-covariance matrix is now computed safely; a singular Hessian returns an NA covariance matrix instead of throwing an error.

Other changes

gevrFit(): added extendInt = "yes" to the internal uniroot() call to make the moment-based starting value for the shape parameter more robust.

Show all changes in 0.2.7Hide the rest of the changes in 0.2.7

gpdSeqTests(): clarified documentation that candidate thresholds are tested in the order supplied and should be given from lowest to highest, with an example of applying the ForwardStop rule.
Added formal package citations for the *Statistics and Computing* (2017) and *Annals of Applied Statistics* (2018) papers.
Vignette now uses SpatialExtremes conditionally (guarded by requireNamespace()) so it builds even when that package is not installed.

From NEWS.md in the release

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("brianbader/eva_package")

Development version from brianbader/eva_package. Installs pak first if it is not already available.

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-eva

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-eva

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-eva

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: 2.5 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-24
NOTE9 OK, 4 NOTE2026-06-09
WARNING9 OK, 3 NOTE, 1 WARNING2026-06-08

Show 1 earlier changeHide 1 earlier change

NOTE10 OK, 4 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.7

README· In the repository, left out of the releaseVignettesYes · 1 · evaluation depends on the environmentNEWSYes · 67% structured · mentions 0.2.7Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 26includes a package overview page
Examples that run: 80%20 run in a plain check · 5 hold no code
Exported functions with examples: 100%
Documented parameters: 93%
Return-value docs: 87%
Help pages citing references: 65%

Vignettes (1)

Introduction to 'eva' and its capabilities HTML

How these are measured

Downloads

7K

CRAN downloads in the past year

Rank #4,276 · ~19/day · ~587/mo

Releases R versions

Daily download trend is not available in this view yet.

77830 days

2K90 days

7K1 year

Compare downloads with other packages →

Also on143 r2u10 autocran1.3K conda_forge107 c2d4u

How downloads are counted

Repository

brianbader/eva_package ↗Account: brianbader

3Stars

3Forks

0Open issues

0Open PRs

0Releases

97Commits

5Commit identities

97 commits · Last activity 2026-06-21 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 67%
Median days to close, 50 most recently updated closed issues: 1,314
Median days to close, 50 most recently updated closed PRs: 53

Stars over time

2024-10-26 · 32026-07-07 · 3

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/brianbader/eva_package on 2026-10-11.

Reproducibility and dev environment (1)

Makefile

CRAN release process (2)

cran-comments.mdrevdep/

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing eva adds no packages beyond those that come with R.

Depends (1)

R >= 2.10.0

Imports (5)

Matrixparallelstatsgraphicsutils

LinkingTo (0)

none

Suggests (3)

rmarkdown knitr SpatialExtremes

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

evmr

Suggests, most downloaded first

lax

How these are counted

Code & Tests

Datasets

People & History

People (2)

Brian Bader

Author, Maintainer since 0.1.1 (2015)

Jun Yan

Contributor

Releases (10)

Pick two releases to compare their code metrics.

0.2.7Latest
record
2026-06-21 · current release · 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
unarchivedReturned to CRAN
2020-11-15
0.2.6
record
2020-11-15 · diff ↗
R
R 4.0.0 released · 2020-04-24
archivedRemoved from CRAN
2020-02-13
check problems were not corrected in time
R
R 3.6.0 released · 2019-04-26
0.2.5
record
2018-10-18 · diff ↗
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
0.2.4
record
2016-09-20 · diff ↗ ·
removed 1 export
gevCIboot

Show 8 earlier eventsHide 8 earlier events

0.2.3
record
2016-05-30 · diff ↗ ·
added 1 export
gevCIboot
R
R 3.3.0 released · 2016-05-03
0.2.2
record
2016-05-02 · diff ↗
0.2.1
record
2016-04-06 · diff ↗
0.1.3
record
2016-02-21 · diff ↗
0.1.2
record
2015-12-31 · diff ↗
0.1.1
record
2015-12-29
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2015-12-29
Total releases: 10 / 11 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 2.10.0
Bundled data: 4.1 KB / 2 files
Download size: 2.5 MB

Appears in task views

Extreme Value Analysis

Cite

Cite this package

Run in R for the authors' entry:

citation("eva")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1007/s11222-016-9697-3, 10.1214/17-aoas1092.

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 eva version 0.2.7 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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