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-x86_64)marssTMB_0.0.14.zip(r-4.7-arm64)marssTMB_0.0.14.zip(r-4.6-x86_64)marssTMB_0.0.14.zip(r-4.6-arm64)marssTMB_0.0.14.zip(r-4.5-x86_64)
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://atsa-es.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

4.00 score 1 stars 40 scripts 5 exports 10 dependencies

Last updated from:32308960f2. Checks:13 WARNING, 1 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING160
linux-devel-x86_64WARNING196
source / vignettesOK536
linux-release-arm64WARNING170
linux-release-x86_64WARNING232
macos-release-arm64WARNING189
macos-release-x86_64WARNING588
macos-oldrel-arm64WARNING174
macos-oldrel-x86_64WARNING387
windows-devel-arm64WARNING396
windows-devel-x86_64WARNING197
windows-release-arm64WARNING402
windows-release-x86_64WARNING212
windows-oldrel-x86_64WARNING163
wasm-releaseFAIL111

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