R Observatory: Metrics for cquad version 2.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cquad

2.3

Conditional Maximum Likelihood for Quadratic Exponential Models for Binary Panel Data

0packages depend

2.8Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Francesco BartolucciFirst published 2015-01-059 releasesCRAN page ↗GitHub ↗

Estimation, based on conditional maximum likelihood, of the quadratic exponential model proposed by Bartolucci, F. & Nigro, V. (2010, Econometrica) DOI:10.3982/ECTA7531 and of a simplified and a modified version of this model. The quadratic exponential model is suitable for the analysis of binary longitudinal data when state dependence (further to the effect of the covariates and a time-fixed individual intercept) has to be taken into account. Therefore, this is an alternative to the dynamic logit model having the advantage of easily allowing conditional inference in order to eliminate the individual intercepts and then getting consistent estimates of the parameters of main interest (for the covariates and the lagged response). The simplified version of this model does not distinguish, as the original model does, between the last time occasion and the previous occasions. The modified version formulates in a different way the interaction terms and it may be used to test in a easy way state dependence as shown in Bartolucci, F., Nigro, V. & Pigini, C. (2018, Econometric Reviews) DOI:10.1080/07474938.2015.1060039. The package also includes estimation of the dynamic logit model by a pseudo conditional estimator based on the quadratic exponential model, as proposed by Bartolucci, F. & Nigro, V. (2012, Journal of Econometrics) DOI:10.1016/j.jeconom.2012.03.004. For large time dimensions of the panel, the computation of the proposed models involves a recursive function from Krailo M. D., & Pike M. C. (1984, Journal of the Royal Statistical Society. Series C (Applied Statistics)) and Bartolucci F., Valentini, F. & Pigini C. (2021, Computational Economics DOI:10.1007/s10614-021-10218-2.

Install

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

install.packages("cquad", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("fravale/cquad_dev")

Development version from fravale/cquad_dev. Installs pak first if it is not already available.

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-cquad

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-cquad

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-cquad

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

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

3

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 89%
Documented parameters: not tracked
Return-value docs: not tracked
References docs: 64%

Downloads

2.8K

CRAN downloads in the past year

Rank #11,669 · ~8/day · ~233/mo

Releases R versions

Daily download trend is not available in this view yet.

32830 days

86090 days

2.8K1 year

Compare downloads with other packages →

Also on114 r2u32 autocran

Repository

GitHub ↗ fravale/cquad_dev

0Stars

1Forks

0Open issues

0Open PRs

0Releases

10Commits

2Contributors

10 commits · Last activity 2023-08-21

Forks over time

2022-02-21 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

Checks run against github.com/fravale/cquad_dev on 2026-08-23.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (4)

R >= 2.0.0MASSplm Formula

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (4)

Claudia Pigini (University of Perugia)

no longer listed · 1.0 to 1.1

Francesco Bartolucci (University of Perugia)

no longer listed · 1.0 to 2.3

Claudia Pigini (University of Ancona "Politecnica delle Marche")

no longer listed · 1.2 to 2.3

Francesco Valentini (University of Ancona "Politecnica delle Marche")

no longer listed · 2.0 to 2.3

Package Timeline

9 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
R
R 4.3.0 released · 2023-04-21
2.3Latest
2023-02-28 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
2.2
2020-10-10 · diff ↗
R
R 4.0.0 released · 2020-04-24
2.1
2019-07-02 · diff ↗
R
R 3.6.0 released · 2019-04-26
2.0
2019-03-26 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.4
2017-06-06 · diff ↗
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03

Show 6 earlier events

1.3
2015-09-28 · diff ↗
1.2
2015-07-22 · diff ↗
1.1
2015-06-07 · diff ↗
R
R 3.2.0 released · 2015-04-16
1.0
2015-01-05
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2015-01-05
Total releases: 9 / 11 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 2.0.0
Bundled data: 80 KB / 1 file
Download size: 95 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

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Run in R for the authors' preferred citation:

citation("cquad")

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Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cquad version 2.3 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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