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.