| 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 |
| clls-deprecated | 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 |
| dod | Thurstonian Degree-of-Difference (DOD) model |
| dodControl | Control settings for the dod function |
| dodPwr | Power of the Degree-of-Difference (DOD) method |
| dodSim | Simulate data from the Degree-of-Difference model |
| dod_fit | Direct fitter of the Thurstonian Degree-of-Difference (DOD) model |
| dod_nll | Utility functions for the Degree-of-Difference model |
| dod_null | Utility functions for the Degree-of-Difference model |
| dod_null_tau | Utility functions for the Degree-of-Difference model |
| dprime_compare | Test the 'any-differences' hypothesis and estimate common d-prime |
| dprime_table | Summary table of several discrimination experiments using the simple-binomial protocols (Duo-Trio, Triangle, Tetrad, 2-AFC and 3-AFC) |
| dprime_test | Test of simple hypothesis with the common d-prime |
| duotrio | Create duotrio binomial family |
| findcr | Find the critical value of a one-tailed binomial test |
| hexad | Create hexad binomial family |
| optimal_tau | Utility functions for the Degree-of-Difference model |
| par2prob_dod | Utility functions for the Degree-of-Difference model |
| 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 |
| posthoc | Post-hoc estimates and tests for multiple discrimination experiments. |
| posthoc.dprime_compare | Post-hoc estimates and tests for multiple discrimination experiments. |
| posthoc.dprime_test | Post-hoc estimates and tests for multiple discrimination experiments. |
| print.AUC | AUC computation |
| print.discrim | Sensory discrimination analysis |
| print.dod | Thurstonian Degree-of-Difference (DOD) model |
| print.twoAC | 2-AC Discrimination and Preference 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 |
| sensR-deprecated | Deprecated Functions in sensR Package |
| summary.betabin | Beta-binomial and chance-corrected beta-binomial models for over-dispersed binomial data |
| summary.samediff | Summary method for samediff objects. |
| tetrad | Create tetrad binomial family |
| threeAFC | Create 3-AFC binomial family |
| triangle | Create triangle binomial family |
| twoAC | 2-AC Discrimination and Preference Protocol |
| twoACpwr | Exact Power Computation for the 2-AC Discrimination Protocol |
| twoAFC | Create 2-AFC binomial family |
| twofive | Create twofive binomial family |
| twofiveF | Create twofiveF binomial family |