Description Usage Arguments Value Examples
Maximum likelihood estimates of the parameters of the reverser Weibull model(GLM). The estimated parameters for the linear part are in vector b
and the estimated exponent is K
.
1 | binom_revweib( r, m, x, p = 1, initK = 2, guessing = 0, lapsing = 0 )
|
r |
number of successes in points x |
m |
number of trials in points x |
x |
stimulus levels |
p |
degree of the polynomial to be fitted on the linear scale; default is 1 |
initK |
Power parameter in reverse Weibull model; default is 2 |
guessing |
guessing rate; default is 0 |
lapsing |
lapsing rate; default is 0 |
value |
Object with 3 components: b: vector of estimated coefficients for the linear part K: estiamte of the power parameter in the reverse Weibull model fit: glm object to be used in evaluation of fitted values |
1 2 | data( "01_Miranda" )
value <- binom_revweib( example01$r, example01$m, example01$x )
|
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