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bdlnm  

Bayesian Distributed Lag Non-Linear Models (B-DLNM)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bdlnm", "0.1.1")



Attach the package and use:
library("bdlnm")
Maintained by
Pau Satorra
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-18
Latest Update: 2026-03-18
Description:
A Bayesian framework for estimating distributed lag linear and non-linear models. Model fitting is implemented using Integrated Nested Laplace Approximation (R package 'INLA'), together with prediction and visualization of exposure-lag-response associations. Additional functions allow estimation of optimal exposure values (e.g., minimum mortality temperature) and computation of attributable fractions and numbers. Models with 'crossbasis' or 'onebasis' terms are supported (R package 'dlnm').
How to cite:
Pau Satorra (2026). bdlnm: Bayesian Distributed Lag Non-Linear Models (B-DLNM). R package version 0.1.1, https://cran.r-project.org/web/packages/bdlnm. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 0.1.0 (2026-03-18 11:20)
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Complete documentation for bdlnm
Functions, R codes and Examples using the bdlnm R package
Full bdlnm package functions and examples
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