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://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

3.97 score 1 stars 37 scripts 5 exports 10 dependencies

Last updated from:32308960f2. Checks:13 WARNING, 1 OK, 1 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING165
linux-devel-x86_64WARNING187
source / vignettesOK494
linux-release-arm64WARNING201
linux-release-x86_64WARNING189
macos-release-arm64WARNING150
macos-release-x86_64WARNING462
macos-oldrel-arm64WARNING156
macos-oldrel-x86_64WARNING266
windows-devel-arm64WARNING250
windows-devel-x86_64WARNING212
windows-release-arm64WARNING250
windows-release-x86_64WARNING169
windows-oldrel-x86_64WARNING164
wasm-releaseFAIL110

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