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dpm  

Dynamic Panel Models Fit with Maximum Likelihood
View on CRAN: Click here


Download and install dpm package within the R console
Install from CRAN:
install.packages("dpm")

Install from Github:
library("remotes")
install_github("cran/dpm")

Install by package version:
library("remotes")
install_version("dpm", "1.2.0")



Attach the package and use:
library("dpm")
Maintained by
Jacob A. Long
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-16
Latest Update: 2024-01-16
Description:
Implements the dynamic panel models described by Allison, Williams, and Moral-Benito (2017 ) 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.
How to cite:
Jacob A. Long (2024). dpm: Dynamic Panel Models Fit with Maximum Likelihood. R package version 1.2.0, https://cran.r-project.org/web/packages/dpm. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Complete documentation for dpm
Functions, R codes and Examples using the dpm R package
Some associated functions: dpm-class . dpm-methods . dpm . dpm_tidiers . get_syntax . get_wide_data . lavaan-functions . reexports . summary.dpm . 
Some associated R codes: 1_dpm.R . crosslag_utils.R . dpm.R . eq_helpers.R . formula_utils.R . model_builder.R . re_exports.R . tidiers.R . utils.R . widen_panel.R .  Full dpm package functions and examples
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