R: Thurstonian Models for Sensory Discrimination

# Thurstonian Models for Sensory Discrimination

## Documentation for package ‘sensR’ version 1.5-3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

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