Showing 7 of total 7 results (show query)
poissonconsulting
chk:Check User-Supplied Function Arguments
For developers to check user-supplied function arguments. It is designed to be simple, fast and customizable. Error messages follow the tidyverse style guide.
Maintained by Joe Thorley. Last updated 2 months ago.
48 stars 11.91 score 22 scripts 98 dependentspoissonconsulting
err:Customizable Object Sensitive Messages
Messages should provide users with readable information about R objects without flooding their console. 'cc()' concatenates vector and data frame values into a grammatically correct string using commas, an ellipsis and conjunction. 'cn()' allows the user to define a string which varies based on a count. 'co()' combines the two to produce a customizable object aware string. The package further facilitates this process by providing five 'sprintf'-like types such as '%n' for the length of an object and '%o' for its name as well as wrappers for pasting objects and issuing errors, warnings and messages.
Maintained by Joe Thorley. Last updated 3 months ago.
7 stars 4.80 score 50 scripts 2 dependentsjinkim3
kim:A Toolkit for Behavioral Scientists
A collection of functions for analyzing data typically collected or used by behavioral scientists. Examples of the functions include a function that compares groups in a factorial experimental design, a function that conducts two-way analysis of variance (ANOVA), and a function that cleans a data set generated by Qualtrics surveys. Some of the functions will require installing additional package(s). Such packages and other references are cited within the section describing the relevant functions. Many functions in this package rely heavily on these two popular R packages: Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>. Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.
Maintained by Jin Kim. Last updated 1 months ago.
7 stars 4.62 score 3 scriptsbioc
OCplus:Operating characteristics plus sample size and local fdr for microarray experiments
This package allows to characterize the operating characteristics of a microarray experiment, i.e. the trade-off between false discovery rate and the power to detect truly regulated genes. The package includes tools both for planned experiments (for sample size assessment) and for already collected data (identification of differentially expressed genes).
Maintained by Alexander Ploner. Last updated 5 months ago.
microarraydifferentialexpressionmultiplecomparison
4.08 score 2 scriptst-kalinowski
yasp:String Functions for Compact R Code
A collection of string functions designed for writing compact and expressive R code. 'yasp' (Yet Another String Package) is simple, fast, dependency-free, and written in pure R. The package provides: a coherent set of abbreviations for paste() from package 'base' with a variety of defaults, such as p() for "paste" and pcc() for "paste and collapse with commas"; wrap(), bracket(), and others for wrapping a string in flanking characters; unwrap() for removing pairs of characters (at any position in a string); and sentence() for cleaning whitespace around punctuation and capitalization appropriate for prose sentences.
Maintained by Tomasz Kalinowski. Last updated 6 years ago.
8 stars 3.60 score 4 scriptsjonlachmann
FBMS:Flexible Bayesian Model Selection and Model Averaging
Implements the Mode Jumping Markov Chain Monte Carlo algorithm described in <doi:10.1016/j.csda.2018.05.020> and its Genetically Modified counterpart described in <doi:10.1613/jair.1.13047> as well as the sub-sampling versions described in <doi:10.1016/j.ijar.2022.08.018> for flexible Bayesian model selection and model averaging.
Maintained by Jon Lachmann. Last updated 1 months ago.
2.45 score 28 scriptsmashroommole
MG1StationaryProbability:Computes Stationary Distribution for M/G/1 Queuing System
The idea of a computational algorithm described in the article by Andronov M. et al. (2022) <https://link.springer.com/chapter/10.1007/978-3-030-92507-9_13>. The purpose of this package is to automate computations for a Markov-Modulated M/G/1 queuing system with alternating Poisson flow of arrivals. It offers a set of functions to calculate various mean indices of the system, including mean flow intensity, mean service busy and idle times, and the system's stationary probability.
Maintained by Olga Zoldaka. Last updated 2 years ago.
2.00 score 1 scripts