Summary
Psychology
Пакунки Debian Med з психології
Цей збірний пакунок має залежності від програмного забезпечення, що стане у
нагоді у дослідженнях з психології.
Description
For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:
If you discover a project which looks like a good candidate for Debian Med
to you, or if you have prepared an unofficial Debian package, please do not hesitate to
send a description of that project to the Debian Med mailing list
Links to other tasks
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Debian Med Psychology packages
Official Debian packages with high relevance
Praat
program for speech analysis and synthesis
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Versions of package praat |
Release | Version | Architectures |
squeeze | 5.1.42-1 | amd64,armel,i386,ia64,mips,mipsel,powerpc,s390,sparc |
stretch | 6.0.23-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
buster | 6.0.38-1 | amd64,arm64,i386,mips64el,ppc64el,s390x |
sid | 6.0.38-1 | amd64,arm64,i386,mips64el,powerpc,ppc64el,s390x |
jessie | 5.4.0-1 | amd64,arm64,armel,armhf,i386,mips,mipsel,powerpc,ppc64el,s390x |
wheezy | 5.3.16-1 | amd64,armel,armhf,i386,ia64,mips,mipsel,powerpc,s390,s390x,sparc |
Debtags of package praat: |
field | linguistics |
interface | x11 |
role | program |
scope | application |
uitoolkit | motif |
works-with | audio |
x11 | application |
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License: DFSG free
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According to its authors, praat is "doing phonetics by computer". Through
its graphical interface, several speech analysis functionalities are
available: spectrograms, cochleograms, and pitch and formant
extraction. Articulatory synthesis, as well as synthesis from pitch,
formant, and intensity are also available. Other features are
segmentation, labelling using the phonetic alphabet, and computation of
statistics. Praat is configurable and extensible through its own scripting
language and has provisions for communicating with other programs.
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Psignifit
Встановлення та перевірка гіпотез психометричних функцій
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Versions of package psignifit |
Release | Version | Architectures |
buster | 2.5.6-4 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
sid | 2.5.6-4 | amd64,arm64,armel,armhf,hurd-i386,i386,kfreebsd-amd64,kfreebsd-i386,mips,mips64el,mipsel,powerpc,ppc64el,s390x |
stretch | 2.5.6-3.1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
jessie | 2.5.6-3 | amd64,arm64,armel,armhf,i386,mips,mipsel,powerpc,ppc64el,s390x |
wheezy | 2.5.6-3 | amd64,armel,armhf,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,s390x,sparc |
squeeze | 2.5.6-3 | amd64,armel,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,sparc |
Debtags of package psignifit: |
field | statistics |
interface | commandline |
role | program |
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License: DFSG free
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Psignifit дозволяє виконувати встановлення психометричних функцій для
наборів даних, здійснюючи повний контроль над великою кількістю параметрів.
Дані можуть бути отримані як з текстового файлу, так і за допомогою
конвеєрів.
Psignifit виконує обчислення довірчих інтервалів, а також перевірку критерію
відношення правдоподібності.
В цьому пакунку міститься версія для командного рядка.
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Psychopy
environment for creating psychology stimuli in Python
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Versions of package psychopy |
Release | Version | Architectures |
sid | 1.85.3.dfsg-1 | all |
stretch | 1.83.04.dfsg-2 | all |
squeeze | 1.61.03.dfsg-1 | all |
wheezy | 1.73.06.dfsg-1 | all |
upstream | 1.90.1 |
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License: DFSG free
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PsychoPy provides an environment for creating psychology stimuli
using Python scripting language. It combines the graphical
strengths of OpenGL with easy Python syntax to give psychophysics
a free and simple stimulus presentation and control package.
The goal is to provide, for the busy scientist, tools to control
timing and windowing and a simple set of pre-packaged stimuli and
methods. PsychoPy features
- IDE GUI for coding in a powerful scripting language (Python)
- Builder GUI for rapid development of stimulation sequences
- Use of hardware-accelerated graphics (OpenGL)
- Integration with Spectrascan PR650 for easy monitor calibration
- Simple routines for staircase and constant stimuli experimental
methods as well as curve-fitting and bootstrapping
- Simple (or complex) GUIs via wxPython
- Easy interfaces to joysticks, mice, sound cards etc. via PyGame
- Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli
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Python-pyepl
module for coding psychology experiments in Python
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Versions of package python-pyepl |
Release | Version | Architectures |
sid | 1.1.0+git12-g365f8e3-2 | amd64,arm64,armel,armhf,hurd-i386,i386,kfreebsd-amd64,kfreebsd-i386,mips,mips64el,mipsel,powerpc,ppc64el,s390x |
squeeze | 1.1.0-3 | amd64,armel,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,sparc |
wheezy | 1.1.0-3.1 | amd64,armel,armhf,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,s390x,sparc |
jessie | 1.1.0+git12-g365f8e3-2 | amd64,arm64,armel,armhf,i386,mips,mipsel,powerpc,ppc64el,s390x |
Debtags of package python-pyepl: |
devel | lang:python |
hardware | input, input:keyboard, input:mouse, video |
interface | commandline, x11 |
office | presentation |
role | devel-lib, program |
scope | suite |
sound | player |
use | monitor, playing, viewing |
works-with | people |
x11 | application |
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License: DFSG free
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PyEPL is a stimuli delivery and response registration toolkit to be
used for generating psychology (as well as neuroscience, marketing
research, and other) experiments.
It provides
- presentation: both visual and auditory stimuli
- responses registration: both manual (keyboard/joystick) and
sound (microphone) time-stamped
- sync-pulsing: synchronizing your behavioral task with external
acquisition hardware
- flexibility of encoding various experiments due to the use of
Python as a description language
- fast execution of critical points due to the calls to linked
compiled libraries
This toolbox is here to be an alternative for a widely used
commercial product E'(E-Prime)
This package provides PyEPL for supported versions of Python.
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Python-pypsignifit
psychometric analysis of psychophysics data in Python
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Versions of package python-pypsignifit |
Release | Version | Architectures |
jessie | 3.0~beta.20120611.1-1 | amd64,arm64,armel,armhf,i386,mips,mipsel,powerpc,ppc64el,s390x |
wheezy | 3.0~beta.20120611.1-1 | amd64,armel,armhf,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mipsel,powerpc,s390x,sparc |
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License: DFSG free
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Psignifit allows fitting of psychometric functions to datasets while
maintaining full control over a large number of parameters. Psignifit
performs the calculation of confidence intervals as well as goodness-of-fit
tests. In addition it offers:
- full Bayesian treatment of psychometric functions including Bayesian
model selection and goodness of fit assessment
- identification of influential observations and outlier detection
- flexible shape definition of the psychometric function
This package provides the Python bindings.
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R-cran-foreign
GNU R package to read/write data from other stat. systems
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Versions of package r-cran-foreign |
Release | Version | Architectures |
wheezy | 0.8.50-1 | amd64,armel,armhf,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,s390x,sparc |
squeeze | 0.8.40-1 | amd64,armel,i386,ia64,kfreebsd-amd64,kfreebsd-i386,mips,mipsel,powerpc,s390,sparc |
sid | 0.8.69-1 | amd64,arm64,armel,armhf,hurd-i386,i386,kfreebsd-amd64,kfreebsd-i386,mips,mips64el,mipsel,powerpc,ppc64el,s390x |
buster | 0.8.69-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
stretch | 0.8.67-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
jessie | 0.8.61-1 | amd64,arm64,armel,armhf,i386,mips,mipsel,powerpc,ppc64el,s390x |
Debtags of package r-cran-foreign: |
devel | lang:r, library |
field | statistics |
role | app-data |
suite | gnu |
use | converting |
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License: DFSG free
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This package provides functions for reading and writing data stored by
statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
This package is part of the set of packages that are 'recommended'
by R Core and shipped with upstream source releases of R itself.
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R-cran-psy
GNU R procedures for psychometrics
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Versions of package r-cran-psy |
Release | Version | Architectures |
jessie | 1.1-1 | all |
wheezy | 1.0-4 | all |
squeeze | 1.0-2 | all |
sid | 1.1-3 | all |
buster | 1.1-3 | all |
stretch | 1.1-2 | all |
Debtags of package r-cran-psy: |
devel | lang:r, library |
field | medicine, statistics |
interface | commandline |
role | shared-lib |
scope | utility |
use | analysing, viewing |
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License: DFSG free
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This package includes several procedures used in psychometrics and
scaling, including:
- Cohen's Kappa and weighted Kappa (two-rater agreement tests)
- Cronbach's Alpha (an item-reliability test)
- Focused Principal Components Analysis
- Intraclass correlation coefficients
- Light's Kappa (an N-rater agreement test)
- Screeplots and graphical representations of principal components
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Official Debian packages with lower relevance
Python-visionegg
Python library for 2D/3D visual stimulus generation
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Versions of package python-visionegg |
Release | Version | Architectures |
stretch | 1.2.1-2 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
sid | 1.2.1-4 | amd64,arm64,armel,armhf,hurd-i386,i386,kfreebsd-amd64,kfreebsd-i386,mips,mips64el,mipsel,powerpc,ppc64el,s390x |
jessie | 1.2.1-2 | amd64,arm64,armel,armhf,i386,mips,mipsel,powerpc,ppc64el,s390x |
buster | 1.2.1-4 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
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License: DFSG free
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The Vision Egg is a programming library that uses standard, inexpensive
computer graphics cards to produce visual stimuli for vision research
experiments.
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Science-psychophysics
Debian Science packages for Psychophysics
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Versions of package science-psychophysics |
Release | Version | Architectures |
sid | 1.7 | all |
jessie | 1.4 | all |
buster | 1.7 | all |
stretch | 1.7 | all |
wheezy | 1.0 | all |
Debtags of package science-psychophysics: |
role | metapackage |
suite | debian |
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License: DFSG free
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This metapackage will install Debian packages which might be useful for
carrying out any experiment relating physical stimuli and their
psychological effects.
The selection of packages is targeting software for stimuli delivery.
For additional software related to the analysis of the acquired data
refer to science-neuroscience-cognitive, med-imaging depending on the
domain of application. Additionally look into
science-bci since those often provide a complete loop
frameworks including stimuli delivery.
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Unofficial packages built by somebody else
Miscpsycho
Miscellaneous Psychometric Analyses
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License: GPL
Language: R
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Miscellaneous functions for psychometric problems
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Psych
Procedures for Psychological, Psychometric, and Personality Research
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License: GPL2+
Language: R
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A number of routines for personality, psychometrics and experimental
psychology. Functions are primarily for scale construction using factor
analysis, cluster analysis and reliability analysis, although others
provide basic descriptive statistics. Functions for simulating
particular item and test structures are included. Several functions
serve as a useful front end for structural equation modeling. Graphical
displays of path diagrams, factor analysis and structural equation
models are created using basic graphics. Some of the functions are
written to support a book on psychometrics as well as publications in
personality research. For more information, see the
personality-project.org/r webpage.
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Psychometric
Applied Psychometric Theory
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License: GPL2+
Language: R
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Contains functions useful for correlation theory, meta-analysis
(validity-generalization), reliability, item analysis, inter-rater
reliability, and classical utility
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Psychotree
Recursive Partitioning Based on Psychometric Models
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License: GPL2
Language: R
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Recursive partitioning based on psychometric models, employing the
general MOB algorithm (from package party). Currently, only
Bradley-Terry trees are implemented.
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Psyphy
Functions for analyzing psychophysical data in R
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License: GPL
Language: R
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An assortment of functions that could be useful in analyzing data from
pyschophysical experiments. It includes functions for calculating d'
from several different experimental designs, links for m-alternative
forced-choice (mafc) data to be used with the binomial family in glm
(and possibly other contexts) and self-Start functions for estimating
gamma values for CRT screen calibrations.
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