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testassay

0.1.3

A Hypothesis Testing Framework for Validating an Assay for Precision

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2Kdownloads / year
test coverage
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Overview

About
Maintained by Michael C SachsFirst published 2016-11-293 releasesCRAN page ↗

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.

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1NOTE12OK
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  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.5 min · r-oldrel-macos-x86_64
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Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
0
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 263 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
33%

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Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

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Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Listed in earlier versions (2)
no longer listed · 0.1.3
no longer listed · 0.1.3
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.1.3Latest
    2026-07-28 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.1
    2020-06-03 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.0
    2016-11-29
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-11-29
Total releases
3 / 10 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
1.2 KB / 1 file
Download size
35 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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