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.
