R Observatory: Metrics for AppliedPredictiveModeling version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

AppliedPredictiveModeling

1.2.0Package record

Functions and Data Sets for 'Applied Predictive Modeling'

0packages dependsuggested by 3

46.8Kdownloads / year

–test coverage

7/13flavors OK

Overview

About

Maintained by Max KuhnCRAN page ↗Website ↗

A few functions and several data set for the Springer book 'Applied Predictive Modeling'.

Changes in 1.2.0

CORElearn was removed from CRAN. This package was changes and recommends to install from GitHub.

From inst/NEWS.Rd in the release

Install

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

install.packages("AppliedPredictiveModeling", 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-appliedpredictivemodeling

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-AppliedPredictiveModeling

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-AppliedPredictiveModeling

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

6NOTE7OK

Check messages

NOTERd cross-referencesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Unknown package ‘CORElearn’ in Rd xrefs

r-devel-linux-x86_64-fedora-clang

Undeclared package ‘CORElearn’ in Rd xrefs
Unknown package ‘CORElearn’ in Rd xrefs

CRAN check page ↗

Slowest check: 1.3 min · r-oldrel-windows-x86_64

Status changes

NOTE7 OK, 6 NOTENow
NOTE12 OK, 1 NOTE2026-07-16
OK13 OK2026-07-12
ERROR11 OK, 1 NOTE, 1 ERROR2026-05-09
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.0

READMEYes · 10 wordsVignettesNoNEWSYes · mentions 1.2.0Citation fileNoWebsiteYes

Help pages: 18 (1 internal)
Examples that run: 88%14 run in a plain check · 1 never run · 1 hold no code
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 60%
Help pages citing references: 11%

How these are measured

Downloads

46.8K

CRAN downloads in the past year

Rank #2,301 · ~128/day · ~3.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.5K30 days

7.3K90 days

46.8K1 year

Compare downloads with other packages →

Also on131 r2u141 autocran

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing AppliedPredictiveModeling adds 12 packages (9 with compiled code, 16 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, vctrs 1.0 MB.

Depends (1)

R >= 2.10

Imports (6)

cli ellipselatticeMASSreshape2 rlang

LinkingTo (0)

none

Suggests (1)

caret

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 3

Suggests, most downloaded first

trtf vinereg mpae

How these are counted

Code & Tests

Datasets

People & History

People (2)

Max Kuhn

Author, Maintainer since 1.1-1 (2013)

Kjell Johnson

Author

Releases (6)

Pick two releases to compare their code metrics.

1.2.0Latest
record
2026-07-06 · current release · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+

added 7 exports
bookTheme, easyBoundaryFunc, getPackages, permuteRelief, quadBoundaryFunc, scriptLocation, transparentTheme
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
1.1-7
record
2018-05-22 · diff ↗
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
1.1-6
record
2014-07-25 · diff ↗
R
R 3.1.0 released · 2014-04-10

Show 4 earlier eventsHide 4 earlier events

1.1-5
record
2014-02-03 · diff ↗
1.1-4
record
2013-10-31 · diff ↗
1.1-1
record
2013-05-30
R
R 3.0.0 released · 2013-04-03

Package metadata

First published: 2013-05-30
Total releases: 6 / 13 yrs
License: GPL-2 OSI
Minimum R: ≥ 2.10
Bundled data: 1.0 MB / 13 files
Download size: 1.2 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("AppliedPredictiveModeling")

Format

Kuhn, M., & Johnson, K. (2026). AppliedPredictiveModeling: Functions and Data Sets for 'Applied Predictive Modeling' (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.AppliedPredictiveModeling

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 AppliedPredictiveModeling version 1.2.0 [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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