Title: A Simple R Package for Classical Parametric Statistical Tests
and Confidence Intervals in Large Samples
Description: One and two sample mean and variance
tests (differences and ratios) are considered.
The test statistics are all expressed in the same
form as the Student t-test, which facilitates their
presentation in the classroom. This contribution
also fills the gap of a robust (to non-normality)
alternative to the chi-square single variance test
for large samples, since no such procedure is implemented

Title: Estimate Asymptomatic Cases via Capture/Recapture Methods
Description: Estimate the lower and upper bound of asymptomatic cases in an
epidemic using the capture/recapture methods from Böhning et al. (2020)
Suggests: covr, ggplot2, knitr, rmarkdown, spelling, testthat
Author: Hugo Gruson [cre, aut, cph] (<https://orcid.org/0000-0002-4094-1476>)

Suggests: covr, ggplot2, knitr, rmarkdown, spelling, testthat(>= 3.0.0)

<doi:10.1101/2020.07.14.20153445>. Note there is currently some discussion
about the validity of the methods implemented in this package. You should
read carefully the original articles, alongside this answer from Li et al.
(2022) <doi:10.48550/arXiv.2209.11334> before using this package in your
Suggests: covr, dplyr, ggplot2, knitr, rmarkdown, spelling, testthat(>=

Title: Asynchronous Code Constructs: Generators, Yield, Async, Await
Description: Write sequential-looking code that pauses and resumes.
gen() creates a generator, an iterator that returns a
value and pauses each time it reaches a yield() call.
async() creates a promise, which runs until it reaches
a call to await(), then resumes when information is available.
These work similarly to generator and async constructs
from 'Python' or 'JavaScript'. Objects produced are
compatible with the 'iterators' and 'promises' packages.
Imports: nseval (>= 0.4), iterators, itertools, later, promises
Suggests: rmarkdown, testthat (>= 3.0.0), knitr, magrittr, audio,

Package: asypow
Title:   Calculate Power  Utilizing Asymptotic Likelihood Ratio Methods
Version: 1.0
Author:  S original by Barry W. Brown, James Lovato and Kathy Russel.
R port by Kjetil Halvorsen <kjetil@entelnet.bo>
Description: A set of routines written in the S language
that calculate power and related quantities utilizing asymptotic
likelihood ratio methods.
Maintainer: Kjetil Halvorsen <kjetil@entelnet.bo>
Depends:  R (>= 1.8.0)
License:  We place the code that we have written in the public domain.
Code that appeared  in an    ACM  publication  is subject  to    their
algorithms policy:
"Submittal of  an  algorithm    for publication  in   one of   the  ACM
Transactions implies that unrestricted use  of the algorithm within  a
computer is permissible.   General permission  to copy and  distribute
the algorithm without fee is granted provided that the copies  are not
made  or   distributed for  direct   commercial  advantage.    The ACM
copyright notice and the title of the publication and its date appear,
and  notice is given that copying  is by permission of the Association
for Computing Machinery.  To copy otherwise, or to republish, requires
a fee and/or specific permission."