quickpsy is an R package developed by Daniel Linares and Joan López-Moliner to quickly fit and plot psychometric functions for multiple conditions.
You can find more information at the website.
You can install the released version of quickpsy from CRAN with:
install.packages("quickpsy")And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("danilinares/quickpsy")At present, the development version of quickpsy is slower than older
versions. If you need to perform bootstrap for many conditions you might
want to use an older version.
library(quickpsy)
fit <- quickpsy(qpdat, phase, resp, grouping = c("participant", "cond"))
plot(fit, color = cond)
-
Fits and plots multiple conditions with minimal coding.
-
The user does not need to introduce initial parameters for default shapes of the psychometric functions.
-
Calculates parametric and non-parametric bootstrap confidence intervals.
-
Compares parameters and thresholds for different conditions using bootstrap.
-
Guess and lapses can be fixed or free as parameters.
-
Fits cumulative normal, logistic, weibull functions or any function defined by the user.
-
Facilitates the reading of several data files.
-
Different conditions could share parameters.
-
Easy model comparisons using likelihood ratios or Akaike Information Criterion.
Linares, D., & López-Moliner, J. (2016). quickpsy: An R package to fit psychometric functions for multiple groups. The R Journal, 2016, vol. 8, num. 1, p. 122-131.
-
psyphy: among other things, it provides links functions to fit psychometric functions using an approach based on generalized linear models.
-
modelfree: fits psychometric functions using a non-parametric approach.