Package: bdlnm 0.1.0

Pau Satorra

bdlnm: Bayesian Distributed Lag Non-Linear Models (B-DLNM)

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').

Authors:Pau Satorra [aut, cre], Marcos Quijal-Zamorano [aut], Joan Ballester [aut], Cristian Tebé [ctb], Miguel A. Martínez-Beneito [aut, ths], Marc Marí-Dell'Olmo [aut, ths]

bdlnm_0.1.0.tar.gz
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bdlnm.pdf |bdlnm.html✨
bdlnm/json (API)
NEWS

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

Bug tracker:https://github.com/pasahe/bdlnm/issues

Datasets:
  • london - London temperature and mortality data

On CRAN:

Conda:

5.41 score 3 stars 3 scripts 671 downloads 5 exports 14 dependencies

Last updated from:69176f7811. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK275
source / vignettesOK223
linux-release-x86_64OK338
macos-release-arm64OK363
macos-oldrel-arm64OK297
windows-develOK879
windows-releaseOK519
windows-oldrelOK381
wasm-releaseOK141

Exports:attributablebcrosspredbdlnmcheck_inlaoptimal_exposure

Dependencies:bootclicrsdlnmlatticeMASSMatrixMatrixModelsmgcvnlmequantregSparseMsurvivaltsModel

bdlnm

Rendered frombdlnm.Rmdusingknitr::rmarkdownon Apr 17 2026.

Last update: 2026-04-16
Started: 2025-06-13