Package: sensR 1.5-3

Dominik Rafacz

sensR: Thurstonian Models for Sensory Discrimination

Provides methods for sensory discrimination methods; duotrio, tetrad, triangle, 2-AFC, 3-AFC, A-not A, same-different, 2-AC and degree-of-difference. This enables the calculation of d-primes, standard errors of d-primes, sample size and power computations, and comparisons of different d-primes. Methods for profile likelihood confidence intervals and plotting are included. Most methods are described in Brockhoff, P.B. and Christensen, R.H.B. (2010) <doi:10.1016/j.foodqual.2009.04.003>.

Authors:Rune Haubo Bojesen Christensen [aut], Per Bruun Brockhoff [aut], Alexandra Kuznetsova [ctb], Sophie Birot [ctb], Karolina Amelia Stachlewska [ctb], Dominik Rafacz [cre]

sensR_1.5-3.tar.gz
sensR_1.5-3.zip(r-4.5)sensR_1.5-3.zip(r-4.4)sensR_1.5-3.zip(r-4.3)
sensR_1.5-3.tgz(r-4.4-any)sensR_1.5-3.tgz(r-4.3-any)
sensR_1.5-3.tar.gz(r-4.5-noble)sensR_1.5-3.tar.gz(r-4.4-noble)
sensR_1.5-3.tgz(r-4.4-emscripten)sensR_1.5-3.tgz(r-4.3-emscripten)
sensR.pdf |sensR.html✨
sensR/json (API)
NEWS

# Install 'sensR' in R:
install.packages('sensR', repos = c('https://aigorahub.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/aigorahub/sensr/issues

On CRAN:

6.21 score 7 stars 77 scripts 871 downloads 1 mentions 48 exports 11 dependencies

Last updated 1 years agofrom:865116f632. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winOKNov 12 2024
R-4.5-linuxOKNov 12 2024
R-4.4-winOKNov 12 2024
R-4.4-macOKNov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:AnotAAUCbetabincllsclm2twoACd.primePwrd.primeSSdiscrimdiscrimPwrdiscrimRdiscrimSimdiscrimSSdoddod_fitdod_nlldod_nulldod_null_taudodControldodPwrdodSimdprime_comparedprime_tabledprime_testduotriofindcrhexadoptimal_taupar2prob_dodpc2pdpd2pcposthocpsyderivpsyfunpsyinvrescaleROCsamediffsamediffPwrsamediffSimSDTtetradthreeAFCtriangletwoACtwoACpwrtwoAFCtwofivetwofiveF

Dependencies:codetoolslatticeMASSMatrixmultcompmvtnormnumDerivsandwichsurvivalTH.datazoo

Examples for 2-AC paper

Rendered fromtwoACexamples.Rnwusingutils::Sweaveon Nov 12 2024.

Last update: 2023-10-24
Started: 2017-01-31

Statistical Methods

Rendered frommethodology.Rnwusingutils::Sweaveon Nov 12 2024.

Last update: 2023-10-24
Started: 2017-01-31

Readme and manuals

Help Manual

Help pageTopics
Analysis of A-not-A testsAnotA confint.anota plot.anota
AUC computationAUC AUC.anota AUC.default print.AUC
Beta-binomial and chance-corrected beta-binomial models for over-dispersed binomial databetabin summary.betabin
Cumulative Link Location-Scale Modelsclls clls-deprecated
Extract 2-AC coefficient table from a cumulative link modelclm2twoAC
Confidence intervals and profile likelihoods for parameters in 2AC modelsconfint.profile.twoAC confint.twoAC plot.profile.twoAC profile.twoAC
Sensory discrimination analysisdiscrim print.discrim
Sensory discrimination power analysisd.primePwr discrimPwr
Replicated Thurstonian Model for discrimination analysisdiscrimR
Simulates replicated difference testsdiscrimSim
Sensory discrimination sample size calculationd.primeSS discrimSS
Thurstonian Degree-of-Difference (DOD) modeldod print.dod
Direct fitter of the Thurstonian Degree-of-Difference (DOD) modeldod_fit
Utility functions for the Degree-of-Difference modeldod_nll dod_null dod_null_tau optimal_tau par2prob_dod
Control settings for the dod functiondodControl
Power of the Degree-of-Difference (DOD) methoddodPwr
Simulate data from the Degree-of-Difference modeldodSim
Test the 'any-differences' hypothesis and estimate common d-primedprime_compare
Summary table of several discrimination experiments using the simple-binomial protocols (Duo-Trio, Triangle, Tetrad, 2-AFC and 3-AFC)dprime_table
Test of simple hypothesis with the common d-primedprime_test
Create duotrio binomial familyduotrio
Find the critical value of a one-tailed binomial testfindcr
Create hexad binomial familyhexad
Plot function for discrim objectsplot.discrim
Plot function for samediff objectsplot.samediff
Post-hoc estimates and tests for multiple discrimination experiments.posthoc posthoc.dprime_compare posthoc.dprime_test
Profile likelihood and confidence interval methods for discrim objectsconfint.discrim plot.profile.discrim profile.discrim
Profile likelihood methods for samediff objects.confint.samediff plot.profile.samediff profile.samediff
Transform or rescale between pc, pd and d-prime for sensory discrimination protocolspc2pd pd2pc psyderiv psyfun psyinv rescale
Plot the Receiver Operating Characteristic CurveROC ROC.anota ROC.default
Computation of tau and dprime for same different testsamediff
Power Analysis for Same-different ExperimentssamediffPwr
Simulates data from a samediff testsamediffSim
Signal Detection Theory Computation of d-primeSDT
Deprecated Functions in sensR PackagesensR-deprecated
Summary method for samediff objects.summary.samediff
Create tetrad binomial familytetrad
Create 3-AFC binomial familythreeAFC
Create triangle binomial familytriangle
2-AC Discrimination and Preference Protocolprint.twoAC twoAC
Exact Power Computation for the 2-AC Discrimination ProtocoltwoACpwr
Create 2-AFC binomial familytwoAFC
Create twofive binomial familytwofive
Create twofiveF binomial familytwofiveF