Package: DiscreteDLM 1.0.0
DiscreteDLM: Bayesian Distributed Lag Model Fitting for Binary and Count Response Data
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>.
Authors:
DiscreteDLM_1.0.0.tar.gz
DiscreteDLM_1.0.0.zip(r-4.7)DiscreteDLM_1.0.0.zip(r-4.6)DiscreteDLM_1.0.0.zip(r-4.5)
DiscreteDLM_1.0.0.tgz(r-4.6-x86_64)DiscreteDLM_1.0.0.tgz(r-4.6-arm64)DiscreteDLM_1.0.0.tgz(r-4.5-x86_64)DiscreteDLM_1.0.0.tgz(r-4.5-arm64)
DiscreteDLM_1.0.0.tar.gz(r-4.7-arm64)DiscreteDLM_1.0.0.tar.gz(r-4.7-x86_64)DiscreteDLM_1.0.0.tar.gz(r-4.6-arm64)DiscreteDLM_1.0.0.tar.gz(r-4.6-x86_64)
DiscreteDLM_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DiscreteDLM/json (API)
| # Install 'DiscreteDLM' in R: |
| install.packages('DiscreteDLM', repos = c('https://dandempsey.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dandempsey/discretedlm/issues
Last updated from:cb165af361. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 138 | ||
| linux-devel-x86_64 | OK | 137 | ||
| source / vignettes | OK | 176 | ||
| linux-release-arm64 | OK | 155 | ||
| linux-release-x86_64 | OK | 162 | ||
| macos-release-arm64 | OK | 215 | ||
| macos-release-x86_64 | OK | 311 | ||
| macos-oldrel-arm64 | OK | 178 | ||
| macos-oldrel-x86_64 | OK | 325 | ||
| windows-devel | OK | 112 | ||
| windows-release | OK | 111 | ||
| windows-oldrel | OK | 114 | ||
| wasm-release | OK | 105 |
Exports:dALDdataframe_DLMNB_MCMCpALDqALDQB_MCMCrALDrTALD
Dependencies:BayesLogitclicpp11dlnmdplyrfarvergenericsggplot2ggridgesgluegtableisobandlabelinglatticelifecyclemagrittrMatrixmgcvnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangS7scalesstatmodstringistringrtibbletidyselecttsModelutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Asymmetric Laplacian Distribution | dALD pALD qALD rALD rTALD |
| Creating a DLM-Ready Dataframe | dataframe_DLM |
| Fitting Discrete Distributed Lag Models with Variable Selection via MCMC | DiscreteDLM DiscreteDLM-overview |
| Negative Binomial Regression via MCMC | NB_MCMC |
| Visualises Results from MCMC_DLM Fits | plot.MCMC_DLM |
| Binary Quantile Regression via MCMC | QB_MCMC |
