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 |