The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

cquad: Conditional Maximum Likelihood for Quadratic Exponential Models for Binary Panel Data

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>.

Version: 2.3
Depends: R (≥ 2.0.0), MASS, plm, Formula
Published: 2023-02-28
DOI: 10.32614/CRAN.package.cquad
Author: Francesco Bartolucci (University of Perugia), Claudia Pigini (University of Ancona "Politecnica delle Marche"), Francesco Valentini (University of Ancona "Politecnica delle Marche")
Maintainer: Francesco Bartolucci <francesco.bartolucci at unipg.it>
BugReports: https://github.com/fravale/cquad_dev/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://cran.r-project.org/package=cquad (CRAN releases), https://github.com/fravale/cquad_dev/ (development repository)
NeedsCompilation: no
Citation: cquad citation info
CRAN checks: cquad results

Documentation:

Reference manual: cquad.pdf

Downloads:

Package source: cquad_2.3.tar.gz
Windows binaries: r-devel: cquad_2.3.zip, r-release: cquad_2.3.zip, r-oldrel: cquad_2.3.zip
macOS binaries: r-release (arm64): cquad_2.3.tgz, r-oldrel (arm64): cquad_2.3.tgz, r-release (x86_64): cquad_2.3.tgz, r-oldrel (x86_64): cquad_2.3.tgz
Old sources: cquad archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cquad to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.