Package: FFD 1.0-9

Ian Kopacka

FFD: Freedom from Disease

Functions, S4 classes/methods and a graphical user interface (GUI) to design surveys to substantiate freedom from disease using a modified hypergeometric function (see Cameron and Baldock, 1997, <doi:10.1016/s0167-5877(97)00081-0>). Herd sensitivities are computed according to sampling strategies "individual sampling" or "limited sampling" (see M. Ziller, T. Selhorst, J. Teuffert, M. Kramer and H. Schlueter, 2002, <doi:10.1016/S0167-5877(01)00245-8>). Methods to compute the a-posteriori alpha-error are implemented. Risk-based targeted sampling is supported.

Authors:Ian Kopacka

FFD_1.0-9.tar.gz
FFD_1.0-9.zip(r-4.7)FFD_1.0-9.zip(r-4.6)FFD_1.0-9.zip(r-4.5)
FFD_1.0-9.tgz(r-4.6-any)FFD_1.0-9.tgz(r-4.5-any)
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FFD_1.0-9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FFD/json (API)

# Install 'FFD' in R:

install.packages('FFD', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/ffd

Datasets:

sheepData - Simulated test data frame of Austrian sheep holdings.

On CRAN:

4.20 score 20 scripts 290 downloads 8 mentions 20 exports 1 dependencies

Last updated from:5db410fc81. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	129
source / vignettes	OK	218
linux-release-x86_64	OK	133
macos-release-arm64	OK	86
macos-oldrel-arm64	OK	89
windows-devel	OK	84
windows-release	OK	90
windows-oldrel	OK	74
wasm-release	OK	96

Exports:computeAlpha computeAlphaLimitedSampling computeAposterioriError computeAposterioriErrorRiskGroups computeOptimalSampleSize computeOptimalSampleSizeRiskGroups computePValue computePValueRiskGroups FFD_GUI HTML indSampling indSamplingSummary lls ltdSampling ltdSamplingSummary plot sample show summary surveyData

Dependencies:R2HTML

FFD: Package to substantiate freedom from disease in R

Rendered fromFFD-intro.Rnwusingutils::Sweave

Last update: 2015-02-20
Started: 2013-03-21

Help page	Topics
FUNCTION to compute the herd-based alpha-errors (= 1 - herd sensitivity).	computeAlpha
FUNCTION to compute the average alpha-error (= error of first kind) for limited sampling.	computeAlphaLimitedSampling
FUNCTION to compute the a-posteriori error.	computeAposterioriError
FUNCTION to compute the a-posteriori error considering a population stratified into risk geroups.	computeAposterioriErrorRiskGroups
FUNCTION to compute the optimal sample size.	computeOptimalSampleSize
FUNCTION to compute the optimal sample size for populations stratified by risk factors.	computeOptimalSampleSizeRiskGroups
FUNCTION to compute the probability of finding no testpositives in a sample of a certain size.	computePValue
FUNCTION to compute the probability of finding no testpositives in a sample of a certain size for a population stratified into risk groups.	computePValueRiskGroups
Freedom From Disease sampling plan calculator	FFD_GUI
Constructor for class 'IndSampling'.	indSampling
Class "IndSampling"	HTML,IndSampling-method IndSampling-class sample,IndSampling-method show,IndSampling-method summary,IndSampling-method
Constructor for class 'IndSamplingSummary'.	indSamplingSummary
Class "IndSamplingSummary"	HTML,IndSamplingSummary-method IndSamplingSummary-class plot,IndSamplingSummary-method show,IndSamplingSummary-method summary,IndSamplingSummary-method
List Objects	lls
Constructor for class 'LtdSampling'.	ltdSampling
Class "LtdSampling"	HTML,LtdSampling-method LtdSampling-class sample,LtdSampling-method show,LtdSampling-method summary,LtdSampling-method
Constructor for class 'LtdSamplingSummary'.	ltdSamplingSummary
Class "LtdSamplingSummary"	HTML,LtdSamplingSummary-method LtdSamplingSummary-class plot,LtdSamplingSummary-method show,LtdSamplingSummary-method summary,LtdSamplingSummary-method
Simulated test data frame of Austrian sheep holdings.	sheepData
Constructor for class 'SurveyData'.	surveyData
Class "SurveyData"	show,SurveyData-method summary,SurveyData-method SurveyData-class

Package: FFD 1.0-9

FFD: Freedom from Disease

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Help Manual

Usage by other packages (reverse dependencies)