Package: abctools 1.1.7
Matt Nunes
abctools: Tools for ABC Analyses
Tools for approximate Bayesian computation including summary statistic selection and assessing coverage. See Nunes and Prangle (2015) <doi:10.32614/RJ-2015-030> and Rodrigues, Prangle and Sisson (2018) <doi:10.1016/j.csda.2018.04.004>.
Authors:
abctools_1.1.7.tar.gz
abctools_1.1.7.tar.gz(r-4.5-noble)abctools_1.1.7.tar.gz(r-4.4-noble)
abctools_1.1.7.tgz(r-4.4-emscripten)abctools_1.1.7.tgz(r-4.3-emscripten)
abctools.pdf |abctools.html✨
abctools/json (API)
| # Install 'abctools' in R: |
| install.packages('abctools', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dennisprangle/abctools/issues
Last updated 1 years agofrom:31de9317d3. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 13 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 13 2024 |
Exports:AS.selectAS.testcombmatcov.mccov.picovstats.mccovstats.pifillcombmc.cimincritnn.entrecalibrationABCrssesaABCselectsummsemiauto.abcssestage2
Dependencies:abcabc.dataabindbackportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelocfitmagrittrMASSMatrixMatrixModelsmemoisemgcvmimemunsellnlmennetpillarpkgconfigplyrquantregR6rappdirsRColorBrewerRcpprlangrmarkdownrpartrstudioapisassscalesSparseMstringistringrsurvivaltibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Tools for ABC analyses | abctools-package abctools |
| Summary statistics selection using approximate sufficiency. | AS.select |
| Test for relative approximate sufficiency between two posterior samples. | AS.test |
| Examples of coalescent data | coal coalobs |
| table of combinations | combmat combtable fillcomb |
| Coverage property diagnostics | cov.mc cov.pi covstats.mc covstats.pi |
| Diagnostic plots for model choice coverage output | mc.ci |
| Summary statistics selection by minimizing a posterior sample measure. | mincrit |
| Works out entropy of a sample. | nn.ent |
| ABC inference with a recalibration adjustment | recalibrationABC |
| Simulation error measures. | rsse sse |
| Summary statistic construction by semi-automatic ABC | saABC |
| Generic function for selecting summary statistics in ABC inference. | selectsumm |
| Performs semi-automatic ABC based on summary statistics regression. | semiauto.abc |
| stage2 | stage2 |