Package: ezECM 1.0.0.9000

Scott Koermer

ezECM: Event Categorization Matrix Classification for Nuclear Detonations

Implementation of an Event Categorization Matrix (ECM) detonation detection model and a Bayesian variant. Functions are provided for importing and exporting data, fitting models, and applying decision criteria for categorizing new events. This package implements methods described in the paper "Bayesian Event Categorization Matrix Approach for Nuclear Detonations" Koermer, Carmichael, and Williams (2024) available on arXiv at <doi:10.48550/arXiv.2409.18227>.

Authors:Scott Koermer [aut, cre, cph]

ezECM_1.0.0.9000.tar.gz
ezECM_1.0.0.9000.zip(r-4.7-any)ezECM_1.0.0.9000.zip(r-4.6-any)ezECM_1.0.0.9000.zip(r-4.5-any)
ezECM_1.0.0.9000.tgz(r-4.6-any)ezECM_1.0.0.9000.tgz(r-4.5-any)
ezECM_1.0.0.9000.tar.gz(r-4.7-any)ezECM_1.0.0.9000.tar.gz(r-4.6-any)
ezECM_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ezECM/json (API)

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

Bug tracker:https://github.com/lanl/ezecm/issues

On CRAN:

Conda:

4.00 score 3 scripts 225 downloads 10 exports 91 dependencies

Last updated from:58132b9ac2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK224
source / vignettesOK398
linux-releaseOK196
macos-releaseOK185
macos-oldrelOK188
windows-develOK160
windows-releaseOK128
windows-oldrelOK139
wasm-releaseOK144

Exports:BayesECMbecm_decisioncECMcECM_decisionexport_ecmimport_ecmimport_pvalsP_wave_genpval_gentime_fn

Dependencies:base64encBHbitbit64bslibcachemclassclassIntclicliprcodacombinatcommonmarkcpp11crayondigestdplyre1071ellipsefastmapfontawesomeforcatsfsgenericsgluehavenhighrhmshtmltoolshttpuvjquerylibjsonliteKernSmoothklaRlabelledlaterlatticelhslifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmemoisemimeminiUImvnfastotelpillarpkgconfigprettyunitsprogresspromisesproxypurrrquantregquestionrR.cacheR.methodsS3R.ooR.utilsR6rappdirsrbibutilsRcppRcppArmadilloRdpackreadrrlangrprojrootrstudioapisassshinysourcetoolsSparseMstringistringrstylersurvivaltibbletidyrtidyselecttzdbutf8vctrsvroomwithrxfunxtable

syn-data-code
Data Generation | Model and Decision Specifications | Monte Carlo Parameters | The Experiment | Plotting the Results

Last update: 2024-10-02
Started: 2024-05-03

aggregate-pvalue-sim
Simulating p-values | ECM | References

Last update: 2024-07-24
Started: 2024-04-16