| Name : R-PCSinR
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:03:19
|
| Group : Development/Libraries/Other
| Source RPM : R-PCSinR-0.1.0-lp153.2.13.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
| |
| Summary : Parallel Constraint Satisfaction Networks in R
|
Description :
Parallel Constraint Satisfaction (PCS) models are an increasingly
common class of models in Psychology, with applications to reading and
word recognition (McClelland & Rumelhart, 1981), judgment and decision
making (Glöckner & Betsch, 2008; Glöckner, Hilbig, & Jekel, 2014), and
several other fields (e.g. Read, Vanman, & Miller, 1997). In each of
these fields, they provide a quantitative model of psychological
phenomena, with precise predictions regarding choice probabilities,
decision times, and often the degree of confidence. This package
provides the necessary functions to create and simulate basic Parallel
Constraint Satisfaction networks within R.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
