Other packages > Find by keyword >

passt  

Probability Associator Time (PASS-T)
View on CRAN: Click here


Download and install passt package within the R console
Install from CRAN:
install.packages("passt")

Install from Github:
library("remotes")
install_github("cran/passt")

Install by package version:
library("remotes")
install_version("passt", "0.1.3")



Attach the package and use:
library("passt")
Maintained by
Johannes Titz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-05
Latest Update: 2021-05-03
Description:
Simulates judgments of frequency and duration based on the Probability Associator Time (PASS-T) model. PASS-T is a memory model based on a simple competitive artificial neural network. It can imitate human judgments of frequency and duration, which have been extensively studied in cognitive psychology (e.g. Hintzman (1970) , Betsch et al. (2010) ). The PASS-T model is an extension of the PASS model (Sedlmeier, 2002, ISBN:0198508638). The package provides an easy way to run simulations, which can then be compared with empirical data in human judgments of frequency and duration.
How to cite:
Johannes Titz (2019). passt: Probability Associator Time (PASS-T). R package version 0.1.3, https://cran.r-project.org/web/packages/passt. Accessed 18 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:39), 0.1.0 (2019-11-05 11:00), 0.1.1 (2019-12-05 15:30)
Other packages that cited passt R package
View passt citation profile
Other R packages that passt depends, imports, suggests or enhances
Complete documentation for passt
Functions, R codes and Examples using the passt R package
Some associated functions: passt-package . pipe . run_exp . run_sim . 
Some associated R codes: passt-package.R . passt.R . utils-pipe.R .  Full passt package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nricens  
NRI for Risk Prediction Models with Time to Event and Binary Response Data
Calculating the net reclassification improvement (NRI) for risk prediction models with time to event ...
Download / Learn more Package Citations See dependency  
logistic4p  
Logistic Regression with Misclassification in Dependent Variables
Error in a binary dependent variable, also known as misclassification, has not drawn much attention ...
Download / Learn more Package Citations See dependency  
SSM  
Fit and Analyze Smooth Supersaturated Models
Creates an S4 class "SSM" and defines functions for fitting smooth supersaturated models, a polynomi ...
Download / Learn more Package Citations See dependency  
timeSeq  
Detecting Differentially Expressed Genes in Time Course RNA-Seq Data
A negative binomial mixed-effects (NBME) model to detect nonparallel differential expression(NPDE) ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
MSCMT  
Multivariate Synthetic Control Method Using Time Series
Three generalizations of the synthetic control method (which has already an implementation in packa ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

74,019

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA