Package: atsar 0.1.6

Eric J. Ward

atsar: Stan Routines For Univariate And Multivariate Time Series

Bundles univariate and multivariate STAN scripts for FISH 507 class.

Authors:Eric J. Ward [aut, cre], Mark D. Scheuerell [aut], Elizabeth E. Holmes [aut], Kiva L. Oken [aut], Trustees of Columbia University [cph]

atsar_0.1.6.tar.gz
atsar_0.1.6.zip(r-4.7-x86_64)atsar_0.1.6.zip(r-4.7-arm64)atsar_0.1.6.zip(r-4.6-x86_64)atsar_0.1.6.zip(r-4.6-arm64)atsar_0.1.6.zip(r-4.5-x86_64)
atsar_0.1.6.tgz(r-4.6-x86_64)atsar_0.1.6.tgz(r-4.6-arm64)atsar_0.1.6.tgz(r-4.5-x86_64)atsar_0.1.6.tgz(r-4.5-arm64)
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atsar_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
atsar/json (API)

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

Bug tracker:https://github.com/atsa-es/atsar/issues

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

bayesianstantime-seriesonetbbcpp

5.98 score 48 stars 67 scripts 1 exports 48 dependencies

Last updated from:a423d23978. Checks:11 ERROR, 2 OK, 2 NOTE. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR789
linux-devel-x86_64ERROR856
source / vignettesOK1348
linux-release-arm64ERROR791
linux-release-x86_64ERROR854
macos-release-arm64ERROR814
macos-release-x86_64NOTE1085
macos-oldrel-arm64ERROR857
macos-oldrel-x86_64NOTE1271
windows-devel-arm64ERROR779
windows-devel-x86_64ERROR1282
windows-release-arm64ERROR791
windows-release-x86_64ERROR1165
windows-oldrel-x86_64ERROR1252
wasm-releaseOK555

Exports:fit_stan

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr

Dynamic linear models in package atsar
Installation | Data | Fitting a univariate DLM | Fitting non-normal errors
Rendered fromdlm.Rmdusingknitr::rmarkdown

Last update: 2021-02-02
Started: 2017-03-07

Fitting time series models in package atsar
Fitting time series models | Installing packages | Data | 1. Linear regression | Burn-in and thinning | 2. Linear regression with correlated errors | 3. Random walk model | 4. Autoregressive models | 5. State-space models
Rendered fromfit_stan.Rmdusingknitr::rmarkdown

Last update: 2021-02-02
Started: 2017-03-07