R Observatory: Metrics for HistDAWass version 1.0.8

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

HistDAWass

1.0.8

Histogram-Valued Data Analysis

2packages depend

5.2Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Antonio IrpinoFirst published 2015-02-1816 releasesCRAN page ↗

In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi: 10.1007/s11634-014-0176-4>.

Install

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

install.packages("HistDAWass", 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-histdawass

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-HistDAWass

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-HistDAWass

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 5.6 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

12

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 3 earlier snapshots

NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 521 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 97%
Documented parameters: 98%
Return-value docs: 100%
References docs: 25%

Downloads

5.2K

CRAN downloads in the past year

Rank #9,287 · ~14/day · ~434/mo

Releases R versions

Daily download trend is not available in this view yet.

23430 days

1K90 days

5.2K1 year

Compare downloads with other packages →

Also on436 r2u10 autocran

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.1methods

Imports (11)

graphicsclassFactoMineR ggplot2 ggridgesgridhistogramgrDevicesstatsutilsRcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

dataSDA ggInterval

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Antonio Irpino

Author, Maintainer

Authors (1)

Antonio Irpino

Author, Maintainer

Package Timeline

16 releases. Pick two to compare their code metrics. R releases are shown for context.

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
1.0.8Latest
2024-01-24 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0.7
2022-09-26 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.0.6
2021-06-22 · diff ↗
1.0.5
2021-05-24 · diff ↗
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
1.0.4
2020-02-19 · diff ↗
1.0.3
2019-06-05 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.0.1
2018-03-20 · diff ↗

Show 13 earlier events

1.0.0
2017-12-07 · diff ↗
0.1.8
2017-10-06 · diff ↗
0.1.7
2017-09-21 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.1.6
2017-02-13 · diff ↗
R
R 3.3.0 released · 2016-05-03
0.1.4
2016-01-12 · diff ↗
0.1.3
2015-07-16 · diff ↗
R
R 3.2.0 released · 2015-04-16
0.1.2
2015-03-17 · diff ↗
0.1.1
2015-02-24 · diff ↗
0.1
2015-02-18
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2015-02-18
Total releases: 16 / 11 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.1
Bundled data: 740 KB / 1 file
Download size: 852 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HistDAWass")

Format

Irpino, A. (2024). HistDAWass: Histogram-Valued Data Analysis (Version 1.0.8) [Computer software]. https://doi.org/10.32614/CRAN.package.HistDAWass

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 HistDAWass version 1.0.8 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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