Package: dpm 1.2.0

dpm: Dynamic Panel Models Fit with Maximum Likelihood

Implements the dynamic panel models described by Allison, Williams, and Moral-Benito (2017 <doi:10.1177/2378023117710578>) in R. This class of models uses structural equation modeling to specify dynamic (lagged dependent variable) models with fixed effects for panel data. Additionally, models may have predictors that are only weakly exogenous, i.e., are affected by prior values of the dependent variable. Options also allow for random effects, dropping the lagged dependent variable, and a number of other specification choices.

Authors:Jacob A. Long [aut, cre], Richard A. Williams [aut], Paul D. Allison [aut]

dpm_1.2.0.tar.gz
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dpm_1.2.0.tgz(r-4.4-any)dpm_1.2.0.tgz(r-4.3-any)
dpm_1.2.0.tar.gz(r-4.5-noble)dpm_1.2.0.tar.gz(r-4.4-noble)
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dpm.pdf |dpm.html
dpm/json (API)
NEWS

# Install 'dpm' in R:
install.packages('dpm', repos = c('https://jacob-long.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jacob-long/dpm/issues

On CRAN:

social-sciencestatistics

4.80 score 15 stars 42 scripts 181 downloads 14 exports 67 dependencies

Last updated 10 months agofrom:e90e64b42a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winOKNov 17 2024
R-4.5-linuxOKNov 17 2024
R-4.4-winOKNov 17 2024
R-4.4-macOKNov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:coefdpmformulaget_idget_syntaxget_waveget_wide_datalav_summarylong_panelpanel_datashowsummaryupdatewiden_panel

Dependencies:backportsbootbroombroom.mixedclicodacodetoolscolorspacecpp11crayondigestdplyrfansifarverforcatsFormulafurrrfuturegenericsggplot2globalsgluegtableisobandjtoolslabelinglatticelavaanlifecyclelistenvlme4lmerTestmagrittrMASSMatrixmgcvminqamnormtmunsellnlmenloptrnumDerivpanderpanelrparallellypbivnormpillarpkgconfigpurrrquadprogR6RColorBrewerRcppRcppEigenrlangsandwichscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrzoo