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-4.5-noble)dfphase1_1.2.0.tar.gz(r-4.4-noble)
dfphase1_1.2.0.tgz(r-4.4-emscripten)dfphase1_1.2.0.tgz(r-4.3-emscripten)
dfphase1.pdf |dfphase1.html
dfphase1/json (API)
NEWS

# Install 'dfphase1' in R:
install.packages('dfphase1', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

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

1.15 score 14 scripts 270 downloads 13 exports 4 dependencies

Last updated 1 years agofrom:fe5f4eb2f7. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-linux-x86_64OKOct 12 2024

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

Dependencies:DEoptimRlatticeRcpprobustbase