Outline | Part I: Basic Usage | Starting Estimation | Resuming Earlier Estimation | Using Built-in Stopping Times | Computing Lower Confidence Bounds | Inspecting Output | Part II: Advanced Usage | Sampling Batches | Resuming Based on Earlier Printed Results | Custom Stopping Times
Package: avseqmc 1.0.2
Ivo V. Stoepker
avseqmc: Anytime-Valid Sequential Estimation of Monte-Carlo p-Values
Anytime-valid sequential estimation of the p-value of a test calibrated by Monte-Carlo simulation, as described in Stoepker & Castro (2024) <doi:10.48550/arXiv.2409.18908>.
Authors:
avseqmc_1.0.2.tar.gz
avseqmc_1.0.2.tar.gz(r-4.7-any)avseqmc_1.0.2.tar.gz(r-4.6-any)
avseqmc_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
avseqmc/json (API)
| # Install 'avseqmc' in R: |
| install.packages('avseqmc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:fa7e97a778. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 119 | ||
| source / vignettes | OK | 184 | ||
| linux-release-x86_64 | OK | 130 | ||
| wasm-release | OK | 87 |
Exports:avseqmcinit_avseqmc_progress
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Anytime-valid sequential estimation of the p-value of a Monte-Carlo test | avseqmc |
| Initialize an 'avseqmc_progress' Object | init_avseqmc_progress |
| Plot the results of the sequential p-value estimation. | plot.avseqmc_progress |
| Print the results of the sequential p-value estimation. | print.avseqmc_progress |