Package: marssTMB 0.0.14

Elizabeth E. Holmes

marssTMB: Fast fitting of MARSS models with TMB

Companion to the MARSS package. Fast fitting of MARSS models with TMB. See the MARSS documentation. All the model syntax and features are the same as for the MARSS package.

Authors:Eli Holmes [aut, cre], Eric Ward [aut], Timothy Cline [aut]

marssTMB_0.0.14.tar.gz
marssTMB_0.0.14.zip(r-4.7)marssTMB_0.0.14.zip(r-4.6)marssTMB_0.0.14.zip(r-4.5)
marssTMB_0.0.14.tgz(r-4.6-x86_64)marssTMB_0.0.14.tgz(r-4.6-arm64)marssTMB_0.0.14.tgz(r-4.5-x86_64)marssTMB_0.0.14.tgz(r-4.5-arm64)
marssTMB_0.0.14.tar.gz(r-4.7-arm64)marssTMB_0.0.14.tar.gz(r-4.7-x86_64)marssTMB_0.0.14.tar.gz(r-4.6-arm64)marssTMB_0.0.14.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
marssTMB/json (API)

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

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

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

On CRAN:

Conda:

marssmultivariate-timeseriesstate-space-modeltime-seriestmb

3.98 score 1 stars 38 scripts 5 exports 10 dependencies

Last updated from:32308960f2. Checks:11 WARNING, 1 OK, 1 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING223
linux-devel-x86_64WARNING200
source / vignettesOK517
linux-release-arm64WARNING199
linux-release-x86_64WARNING202
macos-release-arm64WARNING134
macos-release-x86_64WARNING237
macos-oldrel-arm64WARNING171
macos-oldrel-x86_64WARNING219
windows-develWARNING181
windows-releaseWARNING192
windows-oldrelWARNING181
wasm-releaseFAIL161

Exports:dfaTMBestimate_marssestimate_marss2marssTMB_CheckPackageVersionsvar_to_cholvar

Dependencies:genericsKFASlatticeMARSSMatrixmvtnormnlmeRcppRcppEigenTMB

Speed Comparisons
Example data | Fit models without covariates | Log likelihoods | Compare parameter estimates | Add example with covariates | Fit model | Compare time and log likelihoods | More MARSS models | Run some time comparisons
Rendered fromComparisons.Rmdusingknitr::rmarkdown

Last update: 2023-05-20
Started: 2023-05-11

dfaTMB: Dynamic Factor Analysis
Include a comparison with covariates | Look at a bigger data set
Rendered fromdfaTMB.Rmdusingknitr::rmarkdown

Last update: 2023-05-11
Started: 2023-05-01

Quick Start
Example | Parameter estimates | Estimated states | Fitted values | Diagnostics | Predictions and forecasts | Output to LaTeX | Important | Tips and Tricks | Linear constraints | Time-varying parameters | Need more information?
Rendered fromQuick_Start.Rmdusingknitr::rmarkdown

Last update: 2023-05-11
Started: 2023-05-04

Dynamic Factor Analysis
Example data | Fit models without covariates | Log likelihoods | Compare parameter estimates | Add example with covariates | Fit model | Parameter estimates | Plot estimates
Rendered fromMARSS_TMB.Rmdusingknitr::rmarkdown

Last update: 2023-05-11
Started: 2023-05-01

Optimization discussion
Optimization | nlminb | optim | MARSSkem | Likelihood Calculation | Koopman and Durbin Kalman filter and smoother | Classic Kalman filter and smoother | TMB
Rendered fromOptimization.Rmdusingknitr::rmarkdown

Last update: 2023-05-07
Started: 2023-05-04