quickpsy0.1.5.1 package

Fits Psychometric Functions for Multiple Groups

aic

Calculates the AICs

avbootstrap

Creates bootstrap samples

create_full_nll

Creates the full negative log-likelihood function create_full_nll Cr...

create_nll

Creates the negative log-likelihood function create_nll Creates the ...

create_nllsaturated

Creates the full saturated negative log-likelihood function `create_nl...

create_psy_fun

Creates the psychometric function create_psy_fun creates the psychom...

cum_normal_fun

Cumulative normal function

curvesbootstrap

Creates the bootstrap curves curvesbootstrap creates the bootstrap c...

deviance

Calculates the deviances

devianceboot

Calculates the bootsrap deviances

deviancep

Calculates the probability of obtaining the deviance value or larger i...

fitpsy

Fits the curve fitpsy fits de curve

get_functions

Predefined functions

inv_cum_normal_fun

Inverse cumulative normal function

inv_logistic_fun

Inverse logistic function

inv_weibull_fun

Inverse Weibull function

limits

Creates the limits limits creates the limits

logistic_fun

Logistic function

logliks

Calculates the loglikelihoods logliks calculates the loglikelihoods.

logliksboot

Calculates the bootstrap loglikelihoods

logliksbootsaturated

Calculates the bootstrap loglikelihoods for the saturated model

loglikssaturated

Calculates the loglikelihoods of the saturated model

one_aic

Calculates the AIC for one condition one_aic creates the deviance fo...

one_curve

Creates the curve for one condition one_curve Creates the curve for ...

one_deviance

Creates the deviance for one condition one_deviance creates the devi...

one_deviancep

Calculates the probability of obtaining the deviance value or larger i...

one_limit

Creates the limits for one condition one_limit creates the limits fo...

one_loglik

Creates the loglik for one condition one_loglik creates the loglik f...

one_logliksaturated

Creates the loglik for the saturated model for one condition `one_logl...

one_parameters

Obtains the parameters for one condition one_parameters obtains the ...

one_parci

Calculates the confidence intervals for one condition one_parci calc...

one_parcomparisons

Pair comparisons of the parameters using bootstrap (for each parameter...

one_sse

Calculates the sum of squared errors of prediction one_sse calculate...

one_threshold

Calculates the threshold for one condition one_threshold calculates ...

one_thresholdcomparisons

Pair comparisons of the thresholds using bootstrap `one_thresholdcompa...

one_thresholdsci

Calculates the confidence intervals for the threshold of one condition...

one_ypred

Calculate the predictions of the response variable for one condition `...

parameters

Calculates the parameters parameters calculates the parameters

parbootstrap

Creates bootstrap samples of the parameters

parci

Calculates the confidence intervals for the parameters parci calcula...

parcomparisons

Pair comparisons of the parameters using bootstrap parcomparisons Ca...

parini

Calculates some initial parameters parini calculates some initial pa...

parn

Creates one bootstrap sample one_bootstrapav creates one bootstrap s...

plotcurves

Plot the curves

plotcurves_

Plot the curves

plotpar

Plot the values of the parameters

plotpar_

Plot the values of the parameters

plotthresholds

Plot the thresholds

plotthresholds_

Plot the thresholds

quickpsy

Fits psychometric functions

quickpsy_

Fits psychometric functions

quickreadfiles

Reads several files

sse

Sum of squared errors of prediction

summary.quickpsy

Plot the parameters and its confidence intervals summary Plot the pa...

thresholdcomparisons

Pair comparisons of the parameters using bootstrap `thresholdcompariso...

thresholds

Calculates the thresholds

thresholdsbootstrap

Calculates bootstrap thresholds thresholdsbootstrap calculates boots...

thresholdsci

Calculates the confidence intervals for the thresholds thresholdsci ...

weibull_fun

Weibull function

ypred

Predicted probabilities

Quickly fits and plots psychometric functions (normal, logistic, Weibull or any or any function defined by the user) for multiple groups.