R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
testassay
View on CRAN: Click
here
Download and install testassay package within the R console
Install from CRAN:
install.packages("testassay")
Install from Github:
library("remotes")
install_github("cran/testassay")
Install by package version:
library("remotes")
install_version("testassay", "0.1.1")
Attach the package and use:
library("testassay")
Maintained by
Michael C Sachs
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-29
Latest Update: 2020-06-03
Description:
A common way of validating a biological assay for is through a procedure, where m levels of an analyte are measured with n replicates at each level, and if all m estimates of the coefficient of variation (CV) are less than some prespecified level, then the assay is declared validated for precision within the range of the m analyte levels. Two limitations of this procedure are: there is no clear statistical statement of precision upon passing, and it is unclear how to modify the procedure for assays with constant standard deviation. We provide tools to convert such a procedure into a set of m hypothesis tests. This reframing motivates the m:n:q procedure, which upon completion delivers a 100q% upper confidence limit on the CV. Additionally, for a post-validation assay output of y, the method gives an “effective standard deviation interval” of log(y) plus or minus r, which is a 68% confidence interval on log(mu), where mu is the expected value of the assay output for that sample. Further, the m:n:q procedure can be straightforwardly applied to constant standard deviation assays. We illustrate these tools by applying them to a growth inhibition assay. This is an implementation of the methods described in Fay, Sachs, and Miura (2018) <doi:10.1002/sim.7528>.
How to cite:
Michael C Sachs (2016). testassay: A Hypothesis Testing Framework for Validating an Assay for Precision. R package version 0.1.1, https://cran.r-project.org/web/packages/testassay
Previous versions and publish date:
0.1.0 (2016-11-29 18:10)
Other packages that cited testassay R package
View testassay citation profile
Other R packages that testassay depends,
imports, suggests or enhances
Functions, R codes and Examples using
the testassay R package
Some associated functions: gia . lognormConstCVCI . normConstCVCI . predict.assaytest . print.assaytest . testassay .
Some associated R codes: testassay.R . Full testassay package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
mistral
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Bertrand Iooss (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
critpath
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Adam Kucharski (view profile)
ftaproxim
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Hossein Haghbin (view profile)
rdbnomics
R access to hundreds of millions data series from DBnomics API
(). ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sebastien Galais (view profile)
steepness
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Leiva (view profile)
22,114
R Packages
188,080
Dependencies
55,244
Author Associations
22,115
Publication Badges
© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns