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sensR (version 1.5-2)

Thurstonian Models for Sensory Discrimination

Description

Provides methods for sensory discrimination methods; duotrio, tetrad, triangle, 2-AFC, 3-AFC, A-not A, same-different, 2-AC and degree-of-difference. This enables the calculation of d-primes, standard errors of d-primes, sample size and power computations, 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

895

Version

1.5-2

License

GPL-2 | GPL-3

Issues

Pull Requests

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Repository

https://github.com/perbrock/sensR

Maintainer

Per Bruun Brockhoff

Last Published

February 10th, 2020

Functions in sensR (1.5-2)

sensR-deprecated

Deprecated Functions in sensR Package

Extract 2-AC coefficient table from a cumulative link model

Confidence intervals and profile likelihoods for parameters in 2AC models

Find the critical value of a one-tailed binomial test

Power of the Degree-of-Difference (DOD) method

Control settings for the dod function

Create hexad binomial family

2-AC Discrimination and Preference Protocol

Exact Power Computation for the 2-AC Discrimination Protocol

Create 2-AFC binomial family

Create triangle binomial family

Test the 'any-differences' hypothesis and estimate common d-prime

Signal Detection Theory Computation of d-prime

profile.samediff

Profile likelihood methods for samediff objects.

profile.discrim

Profile likelihood and confidence interval methods for discrim objects

Plot the Receiver Operating Characteristic Curve

Utility functions for the Degree-of-Difference model

summary.samediff

Summary method for samediff objects.

Sensory discrimination analysis

Sensory discrimination power analysis

Replicated Thurstonian Model for discrimination analysis

Post-hoc estimates and tests for multiple discrimination experiments.

Sensory discrimination sample size calculation

Computation of tau and dprime for same different test

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

Transform or rescale between pc, pd and d-prime for sensory discrimination protocols

Summary table of several discrimination experiments using the simple-binomial protocols (Duo-Trio, Triangle, Tetrad, 2-AFC and 3-AFC)

clls-deprecated

Cumulative Link Location-Scale Models

Simulates replicated difference tests

Thurstonian Degree-of-Difference (DOD) model

Plot function for discrim objects

Plot function for samediff objects

Power Analysis for Same-different Experiments

Simulates data from a samediff test

Create duotrio binomial family

AUC computation

Simulate data from the Degree-of-Difference model

Create twofive binomial family

Create tetrad binomial family

Analysis of A-not-A tests

Direct fitter of the Thurstonian Degree-of-Difference (DOD) model

Test of simple hypothesis with the common d-prime

Create 3-AFC binomial family

Create twofiveF binomial family