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sensR (version 1.2.2)

Thurstonian models for sensory discrimination

Description

Provides methods for sensory discrimination methods; duotrio, triangle, 2-AFC, 3-AFC, A-not A, same-different and 2-AC. This enables the calculation of d-primes, standard errors of d-primes and comparisons of different d-primes. Methods for profile likelihood confidence intervals and plotting are included.

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Version

Install

install.packages('sensR')

Monthly Downloads

823

Version

1.2.2

License

GPL-2 | GPL-3

Maintainer

Rune B Christensen

Last Published

October 18th, 2010

Functions in sensR (1.2.2)

Transform or rescale between Pc, Pd and d-prime for sensory discrimination protocols

Create duotrio binomial family

Beta-binomial and chance-corrected beta-binomial models for over-dispersed binomial data

Create 2-AFC binomial family

Signal Detection Theory Computation of d-prime

Plot function for samediff objects

Replicated Thurstonian Model for discrimination analysis

summary.samediff

Summary method for samediff objects.

Sensory discrimination power analysis

Power Analysis for Same-different Experiments

Create triangle binomial family

Sensory discrimination analysis

Confidence intervals and profile likelihoods for parameters in 2AC models

profile.discrim

Profile likelihood methods for discrim objects.

Analysis of A-not-A tests

Create 3-AFC binomial family

Sensory discrimination sample size calculation

Computation of tau and dprime for same different test

profile.samediff

Profile likelihood methods for samediff objects.

Simulates data from a samediff test

2-AC discrimination protocol

Plot function for discrim objects

Cumulative Link Location-Scale Models

AUC computation

Simulates replicated difference tests

Find the critical value of a one-tailed binomial test

Plot the Receiver Operating Characteristic Curve