c(
person("John", "Erdmann", , "john.erdmann@keene.edu", role = c("aut", "cre")),
person("Keene State College", role = c("cph", "fnd")))
Programmatically access the 'Quickbase' JSON API <https://developer.quickbase.com>.
You supply parameters for an API call, 'qbr' delivers an http request to the
API endpoint and returns its response. Outputs follow 'tidyverse' philosophy.
John Erdmann [aut, cre],
Keene State College [cph, fnd]

Quality control of chromatin immunoprecipitation libraries (ChIP-seq) by quantitative polymerase chain reaction (qPCR). This function calculates Enrichment value with respect to reference for each histone modification (specific to 'Vii7' software <http://www.thermofisher.com/ca/en/home/life-science/pcr/real-time-pcr/real-time-pcr-instruments/viia-7-real-time-pcr-system/viia-7-software.html>). This function is applicable to full panel of histone modifications described by International Human Epigenomic Consortium (IHEC).

Estimate Power and Required Sample Size in QCA
c(
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")))
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:
Rohlfing, Ingo (2018) <doi:10.1017/pan.2017.30>
(ungated version: <doi:10.17605/OSF.IO/PC4DF>).
Ingo Rohlfing [aut, cre],
Holger Doering [aut],
Ayjeren Rozyjumayeva [aut]

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.