dpm
1.3.0Dynamic Panel Models Fit with Maximum Likelihood
Overview
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.
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Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-076 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 86%
- References docs
- 11%
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Repository
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Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.3.0Latest
- unarchivedReturned to CRAN2026-04-06
- archivedRemoved from CRAN2026-01-12requires archived package 'bmabasket'
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.2.02024-01-16
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2026-04-07
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet