Title: Estimate Power and Required Sample Size in QCA
Imports: ggplot2, ggforce, devtools, stats
person("Ingo", "Rohlfing", email = "i.rohlfing@uni-koeln.de", role = c("aut", "cre")),
person("Holger", "Doering", email = "doering@uni-bremen.de", role = c("aut")),
person("Ayjeren", "Rozyjumayeva", email = "rozyjumayeva@wiso.uni-koeln.de", role = c("aut")))
Description: Researchers working with Qualitative Comparative Analysis (QCA)
can use the package to estimate power of a sufficient term
using permutation tests. A term can be anything: A condition, conjunction or
disjunction of any combination of these. The package further allows users to plot
the estimation results and to estimate the number of cases required to achieve a
certain level of power, given a prespecified null and alternative hypothesis.
Reference for the article introducing power estimation for QCA is:

Description: 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.

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

Packaged: Wed Jan  3 19:58:08 2007; luca

Packaged: Sat Oct 11 18:07:13 2008; luca

Description: Shewhart quality control charts for continuous, attribute
and count data. Cusum and EWMA charts. Operating characteristic
cause-and-effect chart. Multivariate control charts.

Description: 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.

Imports: MASS, utils, graphics, grDevices
Suggests: knitr (>= 1.12), rmarkdown (>= 0.9)

Title: Quality Control Charts under Repetitive Sampling
, person(c("Muhammad",  "Aslam"),  email = "aslam_ravian@hotmail.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"))
Description: 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>).
Imports: dplyr, magrittr, purrr, stats, tibble