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Model-free estimation of a psychometric function

Functions

bandwidth_bootstrap

Bootstrap estimate of the optimal bandwidth h for a local polynomial estimate of the psychometric function with specified guessing and lapsing rates.

bandwidth_cross_validation

Cross-validation bandwidth for a local polynomial estimate of the psychometric function with specified guessing and lapsing rates.

bandwidth_optimal

Optimal bandwidth for a local polynomial estimate of the psychometric function with specified guessing and lapsing rates. The difference between this function and bandwidth_cross_validation is that here the true psychometric function is known.

bandwidth_plugin

AMISE optimal bandwidth for a local polynomial estimate of the psychometric function.

binom_lims

Maximum likelihood estimates of the parameters of the psychometric function with guessing and lapsing rates, only guessing rate, or only lapsing rate.

binom_revweib

Maximum likelihood estimates of the parameters of the reverse Weibull model for the psychometric function.

binom_weib

Maximum likelihood estimates of the parameters of the Weibull model for the psychometric function.

binomfit_lims

Maximum likelihood estimates of the parameters in a binomial generalised linear model with guessing and lapsing rates.

binomval_lims

Fitted values at points xfit for a binomial generalized linear model with coefficients b and guessing and lapsing rates.

bootstrap_ci_sl

Bootstrap estimate of a confidence interval at a significance level alpha for the estimated slope for the local polynomial estimate of the psychometric function with guessing and lapsing rates. The confidence interval is based on bootstrap percentiles.

bootstrap_ci_th

Bootstrap estimate of a confidence interval at a significance level alpha for the estimated threshold for the local polynomial estimate of the psychometric function with guessing and lapsing rates. The confidence interval is based on bootstrap percentiles.

bootstrap_sd_sl

Bootstrap estimate of the standard deviation of the estimated slope for the local polynomial estimate of the psychometric function with guessing and lapsing rates.

bootstrap_sd_th

Bootstrap estimate of the standard deviation of the estimated threshold for the local polynomial estimate of the psychometric function with guessing and lapsing rates.

comploglog_link

Complementary log-log link in cell form for use with GLMFIT, GLMVAL and other Matlab GLM functions. The guessing rate and lapsing rate are fixed; hence link is a function of only one variable.

deviance

Deviance for the fitted values of the psychometric function pfit.

locglmfit

Local polynomial estimator for the psychometric function and eta function (psychometric function transformed by link) for binomial data; also returns the hat matrix H.

logit_link

Logit link in cell form for use with GLMFIT, GLMVAL and other Matlab GLM functions. The guessing rate and lapsing rate are fixed; hence link is a function of only one variable.

loglog_link

Log-log link in cell form for use with GLMFIT, GLMVAL and other Matlab GLM functions. The guessing rate and lapsing rate are fixed; hence link is a function of only one variable.

probit_link

Probit link in cell form for use with GLMFIT, GLMVAL and other Matlab GLM functions. The guessing rate and lapsing rate are fixed; hence link is a function of only one variable.

revweibull_link

Reverse Weibull link in cell form for use with GLMFIT, GLMVAL and other Matlab GLM functions. The guessing rate and lapsing rate are fixed, and the power parameter is set to be equal K; hence link is a function of only one variable.

threshold_slope

Approximate value of x (=x_th) for which the value of the estimated psychometric function is equal to thresh and the approximate value of slope at x_th.

weibull_link

Weibull link in cell form for use with GLMFIT, GLMVAL and other Matlab GLM functions. The guessing rate and lapsing rate are fixed, and the power parameter is set to be equal K; hence link is a function of only one variable.