Shewhart quality control charts for continuous, attribute and
count data. Cusum and EWMA charts. Operating characteristic
curves.  Process capability analysis. Pareto chart and
cause-and-effect chart.

Shewhart quality control charts for continuous, attribute
and count data. Cusum and EWMA charts. Operating characteristic
curves.  Process capability analysis. Pareto chart and
cause-and-effect chart. Multivariate control charts.

Shewhart quality control charts for continuous, attribute and count data. Cusum and EWMA charts. Operating characteristic curves. Process capability analysis. Pareto chart and cause-and-effect chart. Multivariate control charts.

c(person("Luca", "Scrucca", role = c("aut", "cre"),
email = "luca.scrucca@unipg.it"),
person("Greg", "Snow", role = "ctb",
email = "greg.snow@ihc.com"),
person("Peter", "Bloomfield", role = "ctb",
email = "Peter_Bloomfield@ncsu.edu"))
Luca Scrucca [aut, cre],
Greg Snow [ctb],
Peter Bloomfield [ctb]

Quality Control Charts under Repetitive Sampling
c(
person(c("Muhammad", "Yaseen"),  email = "myaseen208@gmail.com", role = c("aut", "cre"))
, person(c("Muhammad",  "Aslam"),  email = "aslam_ravian@hotmail.com", role = c("aut", "ctb"))
, person(c("Sami", "Ullah"),  email = "samiullahuos@gmail.com", role = c("aut", "ctb"))
, person(c("Muhammad", "Azam"),  email = "mazam@uvas.edu.pk", role = c("aut", "ctb"))
, person(c("Chi-Hyuck", "Jun"),  email = "chjun@postech.ac.kr", role = c("aut", "ctb"))
, person(c("Muhammad",  "Kashif"),  email = "mkashif@uaf.edu.pk", role = c("aut", "ctb"))
)
Muhammad Yaseen [aut, cre],
Muhammad Aslam [aut, ctb],
Sami Ullah [aut, ctb],
Muhammad Azam [aut, ctb],
Chi-Hyuck Jun [aut, ctb],
Muhammad Kashif [aut, ctb]
Functions to calculate Average Sample Numbers (ASN), Average Run Length (ARL1) and value of k, k1 and k2 for quality control charts under repetitive sampling as given in Aslam et al. (2014) (<DOI:10.7232/iems.2014.13.1.101>).

person(given = "Tristan",
family = "Mary-Huard",
role = c("aut", "cre"),
email = "tristan.mary-huard@agroparistech.fr",
comment = c(ORCID = "0000-0002-3839-9067"))
Provides functions for the joint analysis of K sets
of p-values obtained for a same list of items. This joint analysis is
performed by querying a composed hypothesis, i.e. an arbitrary complex
combination of simple hypotheses, as described in Mary-Huard et al.
(2021) <arXiv:2104.14601>. The null distribution corresponding to the
composed hypothesis of interest is obtained by fitting non-parametric
mixtures models (one for each of the simple hypothesis of the complex
combination). Type I error rate control is achieved through Bayesian
False Discovery Rate control.  The 3 main functions of the package
GetHinfo(), qch.fit() and qch.test() correspond to the 3 steps for
querying a composed hypothesis (composed H0/H1 formulation, inferring
the null distribution and testing the null hypothesis).
Tristan Mary-Huard [aut, cre] (<https://orcid.org/0000-0002-3839-9067>)