Description Usage Arguments Value Examples
Finds bootstrap estimate of the standard deviation of the estimated slope for the local polynomial estimation of psychometric function (PF) with guessing and lapsing rates as specified
1 |
TH |
required threshold level |
r |
number of successes in points x |
m |
number of trials in points x |
x |
stimulus levels |
N |
number of bootstrap replications |
h0 |
pilot bandwidth; if not specified, then the scaled plug-in bandwidth is used |
X |
set of value for which to calculate the estimates of PF for the thresholdestimation; if not given 1000 equally spaced points from min to max of xdes are used |
link |
name of the link function to be used; default is "logit" |
guessing |
guessing rate; default is 0 |
lapsing |
lapsing rate; default is 0 |
K |
power parameter for Weibull and reverse Weibull link; default is 2 |
p |
order of the polynomial; default is 1 |
ker |
kernel function for weights; default "dnorm" |
maxiter |
maximum number of iterations in Fisher scoring; default is 50 |
tol |
tolerance level at which to stop Fisher scoring; default is 1e-6 |
value |
Object with 2 components: sd: bootstrap estimate of the standard deviation of the slope estimate sl0: slope estimate |
1 2 3 | data( "01_Miranda" )
bwd <- 0.2959
value <- bootstrap_sd_sl( 0.5, example01$r, example01$m, example01$x, 10, bwd )
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