Package: walker Type: Package Title: Bayesian Generalized Linear Models with Time-Varying Coefficients Version: 1.0.10 Description: Efficient Bayesian generalized linear models with time-varying coefficients as in Helske (2022, ). Gaussian, Poisson, and binomial observations are supported. The Markov chain Monte Carlo (MCMC) computations are done using Hamiltonian Monte Carlo provided by Stan, using a state space representation of the model in order to marginalise over the coefficients for efficient sampling. For non-Gaussian models, the package uses the importance sampling type estimators based on approximate marginal MCMC as in Vihola, Helske, Franks (2020, ). Authors@R: person(given = "Jouni", family = "Helske", role = c("aut", "cre"), email = "jouni.helske@iki.fi", comment = c(ORCID = "0000-0001-7130-793X")) License: GPL (>= 3) Suggests: diagis, gridExtra, knitr (>= 1.11), rmarkdown (>= 0.8.1), testthat Depends: bayesplot, R (>= 3.4.0), rstan (>= 2.26.0) Imports: coda, dplyr, Hmisc, ggplot2, KFAS, loo, methods, Rcpp (>= 0.12.9), RcppParallel, rlang, rstantools (>= 2.0.0) LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.9), RcppArmadillo, RcppEigen (>= 0.3.3.3.0), RcppParallel, rstan (>= 2.26.0), StanHeaders (>= 2.26.0) SystemRequirements: GNU make Biarch: true VignetteBuilder: knitr RoxygenNote: 7.3.1 ByteCompile: true URL: https://github.com/helske/walker BugReports: https://github.com/helske/walker/issues Encoding: UTF-8 Roxygen: list(markdown = TRUE) Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://helske.r-universe.dev Date/Publication: 2024-08-29 17:04:22 UTC RemoteUrl: https://github.com/helske/walker RemoteRef: HEAD RemoteSha: 1d027888429cad0030b6231ee984df052da312f0 NeedsCompilation: yes Packaged: 2026-06-01 06:48:03 UTC; root Author: Jouni Helske [aut, cre] (ORCID: ) Maintainer: Jouni Helske