Package: MAR1 2.3

Elizabeth Eli Holmes

MAR1: Multivariate Autoregressive Modeling for Analysis of Community Time-Series Data

The MAR1 package provides basic tools for preparing ecological community time-series data for MAR modeling, building MAR-1 models via model selection and bootstrapping, and visualizing and exporting model results. It is intended to make MAR analysis sensu Ives et al. (2003) Analysis of community stability and ecological interactions from time-series data) a more accessible tool for anyone studying community dynamics. The user need not necessarily be familiar with time-series modeling or command-based statistics programs such as R.

Authors:Elizabeth Eli Holmes [cre, ctb], Lindsay P. Scheef [aut, cph]

MAR1_2.3.tar.gz
MAR1_2.3.zip(r-4.7)MAR1_2.3.zip(r-4.6)MAR1_2.3.zip(r-4.5)
MAR1_2.3.tgz(r-4.6-any)MAR1_2.3.tgz(r-4.5-any)
MAR1_2.3.tar.gz(r-4.7-any)MAR1_2.3.tar.gz(r-4.6-any)
MAR1_2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
MAR1/json (API)

# Install 'MAR1' in R:
install.packages('MAR1', repos = c('https://atsa-es.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/atsa-es/mar1/issues

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

Datasets:
  • L4.AllDates - L4 plankton abundance time-series
  • L4.mar - L4 plankton abundance time-series prepared for MAR modeling
  • run1 - A sample

On CRAN:

Conda:

multivariate-timeseriestime-series

3.00 score 1 stars 4 downloads 10 exports 14 dependencies

Last updated from:5e3a6530fc. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE126
source / vignettesOK274
linux-release-x86_64NOTE171
macos-release-arm64NOTE105
macos-oldrel-arm64NOTE92
windows-develNOTE113
windows-releaseNOTE92
windows-oldrelNOTE92
wasm-releaseOK106

Exports:export.MARhist.MARtopplot.MARplot.MARtopprepare.dataprint.MARprint.MARsummaryrun.marss.mar1summary.MAR

Dependencies:bestglmcodetoolsforeachglmnetgrpregiteratorslatticeleapsMatrixplsRcppRcppEigenshapesurvival

MAR1 State-Space Model
Construct a MAR model | Fit state-space model | Compare to best fit model | Use a known observation error

Last update: 2023-06-01
Started: 2023-05-26

Getting_Started
Set up the data | Create the restriction matrix | Fit the model | Show output | Model with restrictions | re-run the analysis | run with a different search method | construct a MAR model using windows

Last update: 2023-05-26
Started: 2023-05-25