Thurstonian models for sensory discrimination


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Documentation for package ‘sensR’ version 1.2.10

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AnotA Analysis of A-not-A tests
AUC AUC computation
AUC.anota AUC computation
AUC.default AUC computation
betabin Beta-binomial and chance-corrected beta-binomial models for over-dispersed binomial data
clls Cumulative Link Location-Scale Models
clm2twoAC Extract 2-AC coefficient table from a cumulative link model
confint.anota Analysis of A-not-A tests
confint.discrim Profile likelihood and confidence interval methods for discrim objects
confint.profile.twoAC Confidence intervals and profile likelihoods for parameters in 2AC models
confint.samediff Profile likelihood methods for samediff objects.
confint.twoAC Confidence intervals and profile likelihoods for parameters in 2AC models
d.primePwr Sensory discrimination power analysis
d.primeSS Sensory discrimination sample size calculation
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
pc2pd Transform or rescale between pc, pd and d-prime for sensory discrimination protocols
pd2pc Transform or rescale between pc, pd and d-prime for sensory discrimination protocols
plot.anota Analysis of A-not-A tests
plot.discrim Plot function for discrim objects
plot.profile.discrim Profile likelihood and confidence interval methods for discrim objects
plot.profile.samediff Profile likelihood methods for samediff objects.
plot.profile.twoAC Confidence intervals and profile likelihoods for parameters in 2AC models
plot.samediff Plot function for samediff objects
print.AUC AUC computation
print.discrim Sensory discrimination analysis
print.twoAC 2-AC Discrimination Protocol
profile.discrim Profile likelihood and confidence interval methods for discrim objects
profile.samediff Profile likelihood methods for samediff objects.
profile.twoAC Confidence intervals and profile likelihoods for parameters in 2AC models
psyderiv Transform or rescale between pc, pd and d-prime for sensory discrimination protocols
psyfun Transform or rescale between pc, pd and d-prime for sensory discrimination protocols
psyinv Transform or rescale between pc, pd and d-prime for sensory discrimination protocols
rescale Transform or rescale between pc, pd and d-prime for sensory discrimination protocols
ROC Plot the Receiver Operating Characteristic Curve
ROC.anota Plot the Receiver Operating Characteristic Curve
ROC.default 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 and chance-corrected beta-binomial models for over-dispersed binomial data
summary.samediff Summary method for samediff objects.
threeAFC Create 3-AFC binomial family
triangle Create triangle binomial family
twoAC 2-AC Discrimination Protocol
twoACpwr Exact Power Computation for the 2-AC Discrimination Protocol
twoAFC Create 2-AFC binomial family