R Observatory: Metrics for Emcdf version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2020-01-25. Its history is shown below.

Reason: the request of the maintainer

Details below reflect version 0.1.2, its last release before removal.

Emcdf

0.1.2Package record

Computation and Visualization of Empirical Joint Distribution (Empirical Joint CDF)

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by En-shuo HsuCRAN page ↗

Computes and visualizes empirical joint distribution of multivariate data with optimized algorithms and multi-thread computation. There is a faster algorithm using dynamic programming to compute the whole empirical joint distribution of a bivariate data. There are optimized algorithms for computing empirical joint CDF function values for other multivariate data. Visualization is focused on bivariate data. Levelplots and wireframes are included.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/Emcdf/Emcdf_0.1.2.tar.gz"
pkgFile <- "Emcdf_0.1.2.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.1.2) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 5
Examples that run: 100%5 run in a plain check
Exported functions with examples: 100%
Documented parameters: 92%
Return-value docs: 80%
Help pages citing references: 0%

How these are measured

Downloads

Emcdf Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on53 c2d4u

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.2.5lattice

Imports (2)

Rcppmethods

LinkingTo (1)

Rcpp

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

En-shuo Hsu

Contributor

Jeffrey C. Miecznikowski

Contributor

Maintainer since 0.1.0 (2017)

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.0.0 released · 2020-04-24
archivedRemoved from CRAN
2020-01-25
the request of the maintainer
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.1.2
record
2018-01-13 · diff ↗
0.1.1
record
2017-06-02 · diff ↗
0.1.0
record
2017-06-02
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-06-02
Total releases: 3 / 9 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.2.5

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Emcdf")

Format

Hsu, E., & Miecznikowski, J. C. (n.d.). Emcdf: Computation and Visualization of Empirical Joint Distribution (Empirical Joint CDF) (Version 0.1.2) [Computer software]. Retrieved October 27, 2026, from https://CRAN.R-project.org/package=Emcdf

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 Emcdf version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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