Package: tvvarss 0.1.1

Eric Ward

tvvarss: Time Varying Vector Autoregressive State Space Models

The tvvarss package uses Stan (mc-stan.org) to fit multi-site multivariate autoregressive (aka vector autoregressive) state space models with a time varying interaction matrix.

Authors:Eric Ward [aut, cre], Mark Scheuerell [aut], Steve Katz [aut]

tvvarss_0.1.1.tar.gz
tvvarss_0.1.1.zip(r-4.7)tvvarss_0.1.1.zip(r-4.6)tvvarss_0.1.1.zip(r-4.5)
tvvarss_0.1.1.tgz(r-4.6-x86_64)tvvarss_0.1.1.tgz(r-4.6-arm64)tvvarss_0.1.1.tgz(r-4.5-x86_64)tvvarss_0.1.1.tgz(r-4.5-arm64)
tvvarss_0.1.1.tar.gz(r-4.7-arm64)tvvarss_0.1.1.tar.gz(r-4.7-x86_64)tvvarss_0.1.1.tar.gz(r-4.6-arm64)tvvarss_0.1.1.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tvvarss/json (API)

# Install 'tvvarss' in R:

install.packages('tvvarss', repos = c('https://atsa-es.r-universe.dev', 'https://cloud.r-project.org'))

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

Pkgdown/docs site:https://atsa-es.github.io

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

bayesian multivariate-timeseries state-space time-series cpp

4.26 score 12 stars 15 scripts 3 exports 49 dependencies

Last updated from:31da937bf9. Checks:11 NOTE, 1 OK, 1 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	269
linux-devel-x86_64	NOTE	261
source / vignettes	OK	358
linux-release-arm64	NOTE	269
linux-release-x86_64	NOTE	260
macos-release-arm64	NOTE	182
macos-release-x86_64	NOTE	417
macos-oldrel-arm64	NOTE	207
macos-oldrel-x86_64	NOTE	341
windows-devel	NOTE	393
windows-release	NOTE	383
windows-oldrel	NOTE	314
wasm-release	FAIL	136

Exports:sim2fit simTVVAR tvvarss

Dependencies:abind backports BH callr checkmate cli cpp11 desc distributional farver generics ggplot2 glue gridExtra gtable inline isoband labeling lifecycle loo magrittr MASS matrixStats numDeriv otel pillar pkgbuild pkgconfig posterior processx ps QuickJSR R6 RColorBrewer Rcpp RcppEigen RcppParallel rlang rstan rstantools S7 scales StanHeaders tensorA tibble utf8 vctrs viridisLite withr

Introduction to using time varying vector autoregressive models (TVVARSS)

Requirements | Simulating data | Ex 1: Linear food chain | Ex 2: Grazers & plants

Rendered fromintro_tvvarss.Rmdusingknitr::rmarkdown

Last update: 2021-02-25
Started: 2021-02-25

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Time Varying Vector Autoregressive State Space Models	tvvarss-package
Simulate TVVAR model and add observation error	sim2fit
Simulate the process component of a TVVARSS model	simTVVAR
Fit a TVVARSS model to multivariate time series data	tvvarss