Package: MisRepARMA 0.2.0

MisRepARMA: Misreported Time Series Analysis

Provides a simple and trustworthy methodology for the analysis of misreported continuous time series using either a frequentist (bootstrap-based EM algorithm) or a Bayesian (MCMC via JAGS) approach. The frequentist method is described in Morina et al. (2021) <doi:10.1038/s41598-021-02620-5>. The Bayesian extension fits the same ARMA model with misreporting structure using a full posterior distribution, providing credible intervals and DIC for model comparison, as described in Morina et al. (2024) <doi:10.1101/2024.02.26.24303373>.

Authors:David Moriña Soler [aut, cre], Amanda Fernández-Fontelo [aut], Alejandra Cabaña [aut], Pedro Puig [aut], Biel Abarca Galván [aut]

MisRepARMA_0.2.0.tar.gz
MisRepARMA_0.2.0.zip(r-4.7-any)MisRepARMA_0.2.0.zip(r-4.6-any)MisRepARMA_0.2.0.zip(r-4.5-any)
MisRepARMA_0.2.0.tgz(r-4.6-any)MisRepARMA_0.2.0.tgz(r-4.5-any)
MisRepARMA_0.2.0.tar.gz(r-4.7-any)MisRepARMA_0.2.0.tar.gz(r-4.6-any)
MisRepARMA_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MisRepARMA/json (API)

# Install 'MisRepARMA' in R:
install.packages('MisRepARMA', repos = c('https://dmorinya.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

1.00 score 305 downloads 7 exports 84 dependencies

Last updated from:b0751118d7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK168
source / vignettesOK194
linux-releaseOK170
macos-releaseOK136
macos-oldrelOK112
windows-develOK138
windows-releaseOK110
windows-oldrelOK120
wasm-releaseOK119

Exports:estimateestimate_bayesfitMisRepARMAprint.summary.fitMisRepARMAran.genfreconstructsummary.fitMisRepARMA

Dependencies:abindaskpassbase64encbootbslibcachemclicodacpp11crosstalkcurldata.tabledigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemimemixtoolsnlmeopensslotelpillarpkgconfigplotlypromisespurrrquadprogquantmodR2jagsR2WinBUGSR6rappdirsRColorBrewerRcpprjagsrlangrmarkdownS7sassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytextseriesTTRutf8vctrsviridisLitewithrxfunxtsyamlzoo