R Observatory: Metrics for nonlinearICP version 0.1.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2026-04-30. Its history is shown below.

Reason: email to the maintainer is undeliverable

Details below reflect version 0.1.2.1, its last release before removal.

nonlinearICP

0.1.2.1Package record

Invariant Causal Prediction for Nonlinear Models

0packages depend

1.1Kdownloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Christina Heinze-DemlCRAN page ↗GitHub ↗

Performs 'nonlinear Invariant Causal Prediction' to estimate the causal parents of a given target variable from data collected in different experimental or environmental conditions, extending 'Invariant Causal Prediction' from Peters, Buehlmann and Meinshausen (2016), arXiv:1501.01332, to nonlinear settings. For more details, see C. Heinze-Deml, J. Peters and N. Meinshausen: 'Invariant Causal Prediction for Nonlinear Models', arXiv:1706.08576.

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/nonlinearICP/nonlinearICP_0.1.2.1.tar.gz"
pkgFile <- "nonlinearICP_0.1.2.1.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 (0.1.2.1) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("christinaheinze/nonlinearICP-and-CondIndTests")

Development version from christinaheinze/nonlinearICP-and-CondIndTests. Installs pak first if it is not already available.

Health

CRAN checks

CRAN check results are not tracked yet.

Status changes

NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2.1

READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 4
Examples that run: 100%2 run in a plain check
Exported functions with examples: 100%
Documented parameters: 91%
Return-value docs: 100%
Help pages citing references: 25%

How these are measured

Downloads

1.1K

CRAN downloads in the past year

Rank #25,653 · ~3/day · ~90/mo

Releases R versions

Daily download trend is not available in this view yet.

030 days

090 days

1.1K1 year

Compare downloads with other packages →

Also on67 r2u4 autocran60 c2d4u

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.1.0

Imports (5)

methodsCondIndTests data.tree caTools randomForest

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Christina Heinze-Deml

Contributor

Jonas Peters

Contributor

Maintainer since 0.1.2 (2017)

Releases (2)

Pick two releases to compare their code metrics.

archivedRemoved from CRAN
2026-04-30
email to the maintainer is undeliverable
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
0.1.2.1
record
2017-07-31 · diff ↗
0.1.2
record
2017-07-31
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-31
Total releases: 2 / 9 yrs
License: GPL
Minimum R: ≥ 3.1.0
Bundled data: 12 KB / 1 file
Download size: 25 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("nonlinearICP")

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

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 nonlinearICP version 0.1.2.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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