quickpsy: Fits Psychometric Functions for Multiple Groups

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

Install the latest version of this package by entering the following in R:
install.packages("quickpsy")
AuthorLinares Daniel [aut, cre], López-Moliner Joan [aut]
Date of publication2016-10-27 00:21:52
MaintainerLinares Daniel <danilinares@gmail.com>
LicenseMIT + file LICENSE
Version0.1.4
http://dlinares.org/quickpsy.html

View on CRAN

Man pages

aic: Calculates the AICs

avbootstrap: Creates bootstrap samples

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

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

create_nllsaturated: Creates the full saturated negative log-likelihood function...

create_psy_fun: Creates the psychometric function 'create_psy_fun' creates...

cum_normal_fun: Cumulative normal function

curvesbootstrap: Creates the bootstrap curves 'curvesbootstrap' creates the...

deviance: Calculates the deviances

devianceboot: Calculates the bootsrap deviances

deviancep: Calculates the probability of obtaining the deviance value or...

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...

logliksboot: Calculates the bootstrap loglikelihoods

logliksbootsaturated: Calculates the bootstrap loglikelihoods for the saturated...

loglikssaturated: Calculates the loglikelihoods of the saturated model

one_aic: Calculates the AIC for one condition 'one_aic' creates the...

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

one_deviance: Creates the deviance for one condition 'one_deviance' creates...

one_deviancep: Calculates the probability of obtaining the deviance value or...

one_limit: Creates the limits for one condition 'one_limit' creates the...

one_loglik: Creates the loglik for one condition 'one_loglik' creates the...

one_logliksaturated: Creates the loglik for the saturated model for one condition...

one_parameters: Obtains the parameters for one condition 'one_parameters'...

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

one_parcomparisons: Pair comparisons of the parameters using bootstrap (for each...

one_sse: Calculates the sum of squared errors of prediction 'one_sse'...

one_threshold: Calculates the threshold for one condition 'one_threshold'...

one_thresholdcomparisons: Pair comparisons of the thresholds using bootstrap...

one_thresholdsci: Calculates the confidence intervals for the threshold of one...

one_ypred: Calculate the predictions of the response variable for one...

parameters: Calculates the parameters 'parameters' calculates the...

parbootstrap: Creates bootstrap samples of the parameters

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

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

parini: Calculates some initial parameters 'parini' calculates some...

parn: Creates one bootstrap sample 'one_bootstrapav' creates one...

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

qpdat: Data set for demonstration

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'...

thresholdcomparisons: Pair comparisons of the parameters using bootstrap...

thresholds: Calculates the thresholds

thresholdsbootstrap: Calculates bootstrap thresholds 'thresholdsbootstrap'...

thresholdsci: Calculates the confidence intervals for the thresholds...

weibull_fun: Weibull function

ypred: Predicted probabilities

Functions

aic Man page
avbootstrap Man page
create_full_nll Man page
create_nll Man page
create_nllsaturated Man page
create_psy_fun Man page
cum_normal_fun Man page
curvesbootstrap Man page
deviance Man page
devianceboot Man page
deviancep Man page
fitpsy Man page
get_functions Man page
inv_cum_normal_fun Man page
inv_logistic_fun Man page
inv_weibull_fun Man page
limits Man page
logistic_fun Man page
logliks Man page
logliksboot Man page
logliksbootsaturated Man page
loglikssaturated Man page
one_aic Man page
one_curve Man page
one_deviance Man page
one_deviancep Man page
one_limit Man page
one_loglik Man page
one_logliksaturated Man page
one_parameters Man page
one_parci Man page
one_parcomparisons Man page
one_sse Man page
one_threshold Man page
one_thresholdcomparisons Man page
one_thresholdsci Man page
one_ypred Man page
parameters Man page
parbootstrap Man page
parci Man page
parcomparisons Man page
parini Man page
parn Man page
plotcurves Man page
plotcurves_ Man page
plotpar Man page
plotpar_ Man page
plotthresholds Man page
plotthresholds_ Man page
qpdat Man page
quickpsy Man page
quickpsy_ Man page
quickreadfiles Man page
sse Man page
summary.quickpsy Man page
thresholdcomparisons Man page
thresholds Man page
thresholdsbootstrap Man page
thresholdsci Man page
weibull_fun Man page
ypred Man page

Files

inst
inst/CITATION
inst/extdata
inst/extdata/example1
inst/extdata/example1/aa1.txt
inst/extdata/example1/cc2.txt
inst/extdata/example1/bb1.txt
NAMESPACE
data
data/qpdat.rda
R
R/plotpar.R R/get_functions.R R/parci.R R/one_parcomparisons.R R/quickpsy.R R/thresholdcomparisons.R R/plotpar_.R R/one_ypred.R R/plotcurves.R R/plotthresholds_.R R/one_parameters.R R/thresholdsci.R R/create_nllsaturated.R R/plotthresholds.R R/plot.R R/aic.R R/one_aic.R R/logistic_fun.R R/fitpsy.R R/ypred.R R/curvesbootstrap.R R/one_loglik.R R/one_thresholdcomparisons.R R/one_deviancep.R R/quickpsy_.R R/avbootstrap.R R/one_bootstrapav.R R/one_parci.R R/create_nll.R R/inv_cum_normal_fun.R R/devianceboot.R R/thresholdsbootstrap.R R/one_curve.R R/print.R R/thresholds.R R/deviance.R R/parbootstrap.R R/inv_weibull_fun.R R/one_deviance.R R/logliksbootsaturated.R R/one_thresholdsci.R R/one_logliksaturated.R R/quickreadfiles.R R/loglikssaturated.R R/create_psy_fun.R R/summary.R R/inv_logistic_fun.R R/logliksboot.R R/parini.R R/weibull_fun.R R/cum_normal_fun.R R/deviancep.R R/parcomparisons.R R/create_full_nll.R R/curves.R R/logliks.R R/parameters.R R/limits.R R/one_sse.R R/one_threshold.R R/one_limit.R R/plotcurves_.R R/sse.R
README.md
MD5
DESCRIPTION
man
man/one_curve.Rd man/parn.Rd man/logliks.Rd man/thresholdcomparisons.Rd man/plotcurves.Rd man/deviance.Rd man/plotpar.Rd man/one_ypred.Rd man/create_psy_fun.Rd man/plotpar_.Rd man/plotthresholds.Rd man/devianceboot.Rd man/logliksboot.Rd man/one_parameters.Rd man/ypred.Rd man/create_full_nll.Rd man/avbootstrap.Rd man/deviancep.Rd man/plotthresholds_.Rd man/logistic_fun.Rd man/aic.Rd man/one_parcomparisons.Rd man/fitpsy.Rd man/inv_logistic_fun.Rd man/create_nllsaturated.Rd man/quickreadfiles.Rd man/cum_normal_fun.Rd man/one_deviance.Rd man/curvesbootstrap.Rd man/one_logliksaturated.Rd man/summary.quickpsy.Rd man/thresholds.Rd man/one_loglik.Rd man/sse.Rd man/qpdat.Rd man/parameters.Rd man/one_thresholdcomparisons.Rd man/parcomparisons.Rd man/weibull_fun.Rd man/parini.Rd man/one_sse.Rd man/thresholdsci.Rd man/thresholdsbootstrap.Rd man/create_nll.Rd man/one_limit.Rd man/inv_cum_normal_fun.Rd man/parbootstrap.Rd man/quickpsy_.Rd man/loglikssaturated.Rd man/one_threshold.Rd man/one_parci.Rd man/inv_weibull_fun.Rd man/logliksbootsaturated.Rd man/plotcurves_.Rd man/quickpsy.Rd man/parci.Rd man/one_aic.Rd man/one_deviancep.Rd man/get_functions.Rd man/limits.Rd man/one_thresholdsci.Rd
LICENSE

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All documentation is copyright its authors; we didn't write any of that.