R Observatory: Metrics for apc version 3.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2026-03-02. Its history is shown below.

Reason: issues were not corrected despite reminders

Details below reflect version 3.0.0, its last release before removal.

apc

3.0.0Package record

Age-Period-Cohort Analysis

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Bent NielsenCRAN page ↗

Functions for age-period-cohort analysis. Aggregate data can be organised in matrices indexed by age-cohort, age-period or cohort-period. The data can include dose and response or just doses. The statistical model is a generalized linear model (GLM) allowing for 3,2,1 or 0 of the age-period-cohort factors. 2-sample analysis is possible. Mixed frequency data are possible. Individual-level data should have a row for each individual and columns for each of age, period, and cohort. The statistical model for repeated cross-section is a generalized linear model. The statistical model for panel data is ordinary least squares. The canonical parametrisation of Kuang, Nielsen and Nielsen (2008) DOI:10.1093/biomet/asn026 is used. Thus, the analysis does not rely on ad hoc identification.

Changes in 3.0.0

New functions

apc.identify.mixed function for mixed frequency data

apc.fit.model.2s

apc.fit.table.2s

apc.plot.fit.2s functions for 2-sample analysis

data.Swiss.suicides data for illustrating 2-sample analysis

Improvements

apc.data.list to accommodate mixed frequency data

apc.fit.model

apc.forecast.ac

apc.forecast.ap

apc.forecast.apc

Show all changes in 3.0.0Hide the rest of the changes in 3.0.0

apc.get.design

apc.hypothesis

apc.identify

apc.indiv.compare.direct

apc.indiv.est.model

apc.indiv.model.table

apc.plot.data.level

apc.plot.data.sums

apc.plot.data.within

apc.plot.fit

apc.plot.fit.residuals

From inst/NEWS in the release

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/apc/apc_3.0.0.tar.gz"
pkgFile <- "apc_3.0.0.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 (3.0.0) 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 3.0.0

READMENoVignettesNoNEWSYes · 0% structured · mentions 3.0.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 44includes a package overview page
Examples that run: 88%30 run in a plain check · 4 hold no code
Exported functions with examples: 77%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 75%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on92 r2u20 autocran59 c2d4u

How downloads are counted

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (10)

latticeplyr reshape plm survey lmtest car AER ISLR ggplot2

LinkingTo (0)

none

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)

Bent Nielsen

Author, Maintainer since 1.0 (2014)

Zoe Fannon

Author · added in 2.0.0

Releases (7)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2026-03-02
issues were not corrected despite reminders
3.0.0
record
2025-07-07 · diff ↗
unarchivedReturned to CRAN
2025-06-16
2.0.1
record
2025-06-15 · diff ↗
archivedRemoved from CRAN
2025-06-13
issues were not corrected despite reminders
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
2.0.0
record
2020-10-01 · diff ↗
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
R
R 3.4.0 released · 2017-04-21

Show 7 earlier eventsHide 7 earlier events

1.3
record
2016-12-01 · diff ↗
R
R 3.3.0 released · 2016-05-03
1.2
record
2016-03-21 · diff ↗
R
R 3.2.0 released · 2015-04-16
1.1
record
2015-04-12 · diff ↗
1.0
record
2014-08-29
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2014-08-29
Total releases: 7 / 12 yrs
License: GPL-3 OSI

Appears in task views

Actuarial Science

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("apc")

Format

Fannon, Z., & Nielsen, B. (n.d.). apc: Age-Period-Cohort Analysis (Version 3.0.0) [Computer software]. Retrieved October 22, 2026, from https://CRAN.R-project.org/package=apc

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 apc version 3.0.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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