Package: dfphase1 1.2.0

Giovanna Capizzi

dfphase1: Phase I Control Charts (with Emphasis on Distribution-Free Methods)

Statistical methods for retrospectively detecting changes in location and/or dispersion of univariate and multivariate variables. Data values are assumed to be independent, can be individual (one observation at each instant of time) or subgrouped (more than one observation at each instant of time). Control limits are computed, often using a permutation approach, so that a prescribed false alarm probability is guaranteed without making any parametric assumptions on the stable (in-control) distribution. See G. Capizzi and G. Masarotto (2018) <doi:10.1007/978-3-319-75295-2_1> for an introduction to the package.

Authors:Giovanna Capizzi and Guido Masarotto

dfphase1_1.2.0.tar.gz
dfphase1_1.2.0.tar.gz(r-4.7-arm64)dfphase1_1.2.0.tar.gz(r-4.7-x86_64)dfphase1_1.2.0.tar.gz(r-4.6-arm64)dfphase1_1.2.0.tar.gz(r-4.6-x86_64)
dfphase1_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
dfphase1/json (API)

# Install 'dfphase1' in R:
install.packages('dfphase1', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

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

openblascpp

1.15 score 14 scripts 370 downloads 13 exports 4 dependencies

Last updated from:fe5f4eb2f7. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK134
linux-devel-x86_64OK121
source / vignettesOK223
linux-release-arm64OK139
linux-release-x86_64OK130
wasm-releaseOK144

Exports:changepointchangepoint.normal.limitsmchangepointmchangepoint.normal.limitsmphase1mphase1Plotmshewhartmshewhart.normal.limitsphase1Plotpostsignalrspshewhartshewhart.normal.limits

Dependencies:DEoptimRlatticeRcpprobustbase