Package: MAR1 2.3
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:
MAR1_2.3.tar.gz
MAR1_2.3.zip(r-4.5)MAR1_2.3.zip(r-4.4)MAR1_2.3.zip(r-4.3)
MAR1_2.3.tgz(r-4.4-any)MAR1_2.3.tgz(r-4.3-any)
MAR1_2.3.tar.gz(r-4.5-noble)MAR1_2.3.tar.gz(r-4.4-noble)
MAR1_2.3.tgz(r-4.4-emscripten)MAR1_2.3.tgz(r-4.3-emscripten)
MAR1.pdf |MAR1.html✨
MAR1/json (API)
NEWS
# 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
- L4.AllDates - L4 plankton abundance time-series
- L4.mar - L4 plankton abundance time-series prepared for MAR modeling
- run1 - A sample
multivariate-timeseriestime-series
Last updated 1 years agofrom:5e3a6530fc. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-win | NOTE | Oct 26 2024 |
R-4.5-linux | NOTE | Oct 26 2024 |
R-4.4-win | NOTE | Oct 26 2024 |
R-4.4-mac | NOTE | Oct 26 2024 |
R-4.3-win | OK | Oct 26 2024 |
R-4.3-mac | OK | Oct 26 2024 |
Exports:export.MARhist.MARtopplot.MARplot.MARtopprepare.dataprint.MARprint.MARsummaryrun.marss.mar1summary.MAR
Dependencies:bestglmcodetoolsforeachglmnetgrpregiteratorslatticeleapsMatrixplsRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Multivariate Autoregressive Modeling for Analysis of Community Time-Series Data | MAR1-package MAR1 |
Export all elements of a MAR object to a new directory | export.MAR |
Plot histogram of AIC values of top MAR models | hist.MARtop |
L4 plankton abundance time-series | L4.AllDates |
L4 plankton abundance time-series prepared for MAR modeling | L4.mar |
Plot coefficients of a MAR model | plot.MAR |
Plot coefficients of top MAR models | plot.MARtop |
Prepare data frame for MAR analysis | prepare.data |
Print output of a MAR model | print.MAR |
Print the summary of a MAR model | print.MARsummary |
Initiate MAR analysis | run.mar |
A sample | run1 |
Fit a state-space MAR model using the MARSS package. | ss.mar1 |
Produce a summary of a MAR model | summary.MAR |