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DiscreteDLM  

Bayesian Distributed Lag Model Fitting for Binary and Count Response Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DiscreteDLM", "1.0.0")



Attach the package and use:
library("DiscreteDLM")
Maintained by
Daniel Dempsey
[Scholar Profile | Author Map]
First Published: 2025-02-06
Latest Update: 2025-02-06
Description:
Tools for fitting Bayesian Distributed Lag Models (DLMs) to longitudinal response data that is a count or binary. Count data is fit using negative binomial regression and binary is fit using quantile regression. The contribution of the lags are fit via b-splines. In addition, infers the predictor inclusion uncertainty. Multimomial models are not supported. Based on Dempsey and Wyse (2025) <doi:10.48550/arXiv.2403.03646>.
How to cite:
Daniel Dempsey (2025). DiscreteDLM: Bayesian Distributed Lag Model Fitting for Binary and Count Response Data. R package version 1.0.0, https://cran.r-project.org/web/packages/DiscreteDLM. Accessed 02 Apr. 2025.
Previous versions and publish date:
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Complete documentation for DiscreteDLM
Functions, R codes and Examples using the DiscreteDLM R package
Full DiscreteDLM package functions and examples
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