Thurstonian models for sensory discrimination

[Package List] [Top]

Documentation for package ‘sensR’ version 1.1.0

Help Pages

AnotA Analysis of A-not-A tests
AUC AUC computation
AUC.default AUC computation
AUC.discrim AUC computation
betabin Beta-Binomial model for over-dispersed binomial data
clls Cumulative Link Location-Scale Models
confint.discrim Profile likelihood methods for discrim objects.
confint.samediff Profile likelihood methods for samediff objects.
discrim Sensory discrimination analysis
discrimPwr Sensory discrimination power analysis
discrimR Replicated Thurstonian Model for discrimination analysis
discrimSim Simulates replicated difference tests
discrimSS Sensory discrimination sample size calculation
duotrio Create duotrio binomial family
findcr Find the critical value of a one-tailed binomial test
plot.discrim Plot function for discrim objects
plot.profile.discrim Profile likelihood methods for discrim objects.
plot.profile.samediff Profile likelihood methods for samediff objects.
plot.samediff Plot function for samediff objects
print.AUC Print AUC objects
print.discrim Print method for objects of class "discrim"
profile.discrim Profile likelihood methods for discrim objects.
profile.samediff Profile likelihood methods for samediff objects.
ROC Plot the Receiver Operating Characteristic Curve
ROC.default Plot the Receiver Operating Characteristic Curve
ROC.discrim Plot the Receiver Operating Characteristic Curve
samediff Computation of tau and dprime for same different test
samediffPwr Power Analysis for Same-different Experiments
samediffSim Simulates data from a samediff test
SDT Signal Detection Theory Computation of d-prime
summary.betabin Beta-Binomial model for over-dispersed binomial data
summary.samediff Summary method for samediff objects.
threeAFC Create 3-AFC binomial family
triangle Create triangle binomial family
twoAFC Create 2-AFC binomial family