Title: Encryption and Decryption with Text Ciphers
person("Gus", "Lipkin", , "gus.lipkin@gmail.com", role = c("aut", "cre"))
Description: Encrypts and decrypts using basic ciphers. None of
these should be used in place of real encryption using state of the art tools.
The ciphers included use methods described in the ciphers's Wikipedia and
Packaged: 2022-11-16 02:37:08 UTC; guslipkin

Title: Nonparametric estimation of monotone functions via isotonic regression and centered isotonic regression
Maintainer: Assaf P. Oron <aoron@fhcrc.org>
Description: The 'cir' package provides a documented version of the well-known isotonic regression (IR) algorithm (function 'pava'), and an improvement to IR in case the true function is known to be smooth and strictly monotone. This improvement called Centered Isotonic Regression (CIR) is available via the function 'cir.pava'. Additionally, the function 'cir.upndown' provides percentile estimation for dose-response experiments (e.g., ED50 estimation of a medication) using CIR.
Packaged: Wed Jan 30 15:54:07 2008; aoron

Title: Centered Isotonic Regression and Dose-Response Utilities
Description: Isotonic regression (IR), as well as a great small-sample improvement to IR called
CIR, interval estimates for both, and additional utilities.
Maintainer: Assaf P. Oron <assaf.oron@seattlechildrens.org>
Authors@R: person('Assaf P.','Oron', role=c('cre','aut'), email='assaf.oron@seattlechildrens.org')

Maintainer: Assaf P. Oron <aoron@idmod.org>

Description: Isotonic regression (IR) and its improvement: centered isotonic regression (CIR). CIR is recommended in particular with small samples. Also, interval estimates for both, and additional utilities such as plotting dose-response data.

Maintainer: Assaf P. Oron <assaf.oron@gmail.com>

Description: Uses non-linear regression to statistically compare two circadian rhythms.
Groups are only compared if both are rhythmic (amplitude is non-zero).
Performs analyses regarding mesor, phase, and amplitude, reporting on estimates and statistical differences, for each, between groups.
Imports: ggplot2 (>= 2.2.1), stats, utils
Suggests: testthat (>= 3.0.0), nlme, knitr, rmarkdown
Author: Rex Parsons [aut, cre] (<https://orcid.org/0000-0002-6053-8174>)