Summary
Psychology
Debian Med packages for psychology
This metapackage contains dependencies for a collection of software
which might be helpful for psychological research.
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
orthanc-neuro
Neuroimaging plugin for Orthanc
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Versions of package orthanc-neuro |
Release | Version | Architectures |
trixie | 1.1+dfsg-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
bookworm | 1.0-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
sid | 1.1+dfsg-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
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License: DFSG free
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This package installs a plugin for Orthanc, the lightweight, RESTful
Vendor Neutral Archive for medical imaging. This plugin adds support
for neuroimaging in Orthanc, notably to easily convert from DICOM to
NIfTI.
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praat
program for speech analysis and synthesis
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Versions of package praat |
Release | Version | Architectures |
bullseye | 6.1.38-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
buster | 6.0.48-1 | amd64,arm64,i386 |
stretch | 6.0.23-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
jessie | 5.4.0-1 | amd64,armel,armhf,i386 |
sid | 6.4.24+dfsg-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
bookworm | 6.3.07-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
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
Fitting and testing hypotheses about psychometric functions
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Versions of package psignifit |
Release | Version | Architectures |
bullseye | 2.5.6-7 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
sid | 2.5.6-8 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
trixie | 2.5.6-8 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
bookworm | 2.5.6-8 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
buster | 2.5.6-5 | amd64,arm64,armhf,i386 |
stretch | 2.5.6-3.1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
jessie | 2.5.6-3 | amd64,armel,armhf,i386 |
Debtags of package psignifit: |
field | statistics |
interface | commandline |
role | program |
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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. Data
can either be read from text files or passed through a pipe.
Psignifit performs the calculation of confidence intervals as well as
goodness-of-fit tests.
This is the command line version.
Please note: This is the legacy version 2.x of psignifit.
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psychopy
environment for creating psychology stimuli in Python
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Versions of package psychopy |
Release | Version | Architectures |
stretch | 1.83.04.dfsg-2 | all |
sid | 2023.2.4+dfsg-3 | all |
bullseye | 2020.2.10+dfsg-2 | all |
upstream | 2024.2.4 |
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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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python3-bioxtasraw
process biological small angle scattering data
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Versions of package python3-bioxtasraw |
Release | Version | Architectures |
bookworm | 2.1.1-4 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el |
sid | 2.3.0-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64 |
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License: DFSG free
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BioXTAS RAW is a GUI based, Python program for reduction and
analysis of small-angle X-ray solution scattering (SAXS) data.
The package is designed for biological SAXS data.
BioXTAS RAW provides an alternative to closed source programs
such as Primus and Scatter for primary data analysis. Because
it can calibrate, mask, and integrate images it also provides
an alternative to synchrotron beamline pipelines that scientists
can install on their own computers and use both at home and at
the beamline.
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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 |
bookworm | 0.8.84-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
jessie | 0.8.61-1 | amd64,armel,armhf,i386 |
stretch | 0.8.67-1 | amd64,arm64,armel,armhf,i386,mips,mips64el,mipsel,ppc64el,s390x |
buster | 0.8.71-1 | amd64,arm64,armhf,i386 |
bullseye | 0.8.81-1 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
sid | 0.8.87-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,s390x |
trixie | 0.8.87-1 | amd64,arm64,armel,armhf,i386,mips64el,ppc64el,riscv64,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 |
bullseye | 1.1-5 | all |
buster | 1.1-4 | all |
sid | 1.2-1 | all |
stretch | 1.1-2 | all |
jessie | 1.1-1 | all |
trixie | 1.2-1 | all |
bookworm | 1.2-1 | 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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r-cran-psych
GNU R procedures for psychological, psychometric, and personality research
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Versions of package r-cran-psych |
Release | Version | Architectures |
sid | 2.4.1-1 | all |
stretch-backports | 1.8.12-1~bpo9+1 | all |
bullseye | 2.0.12-1 | all |
trixie | 2.4.1-1 | all |
bookworm | 2.2.9-1 | all |
buster | 1.8.12-1 | all |
upstream | 2.4.6.26 |
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License: DFSG free
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This GNU R package provides a general purpose toolbox for personality,
psychometric theory and experimental psychology. Functions are primarily
for multivariate analysis and scale construction using factor
analysis, principal component analysis, cluster analysis and
reliability analysis, although others provide basic descriptive
statistics. Item Response Theory is done using factor analysis of
tetrachoric and polychoric correlations. Functions for analyzing
data at multiple levels include within and between group
statistics, including correlations and factor analysis. Functions
for simulating and testing 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 psychometric theory as well as publications in personality
research.
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r-cran-psychometric
GNU R applied psychometric theory
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Versions of package r-cran-psychometric |
Release | Version | Architectures |
sid | 2.4-1 | all |
bookworm | 2.3-1 | all |
trixie | 2.4-1 | all |
bullseye | 2.2-2 | amd64,arm64,armel,armhf,i386,mips64el,mipsel,ppc64el,s390x |
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License: DFSG free
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Contains GNU R functions useful for correlation theory,
meta-analysis (validity-generalization), reliability, item
analysis, inter-rater reliability, and classical utility.
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r-cran-psychotree
GNU R recursive partitioning based on psychometric models
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Versions of package r-cran-psychotree |
Release | Version | Architectures |
trixie | 0.16-0-1 | all |
sid | 0.16-0-1 | all |
bookworm | 0.16-0-1 | all |
bullseye | 0.15-3-2 | all |
upstream | 0.16-1 |
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License: DFSG free
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Recursive partitioning based on psychometric models, employing the general
MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch
trees, rating scale and partial credit trees, and MPT trees.
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r-cran-psyphy
functions for analyzing psychophysical data in GNU R
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Versions of package r-cran-psyphy |
Release | Version | Architectures |
sid | 0.3-1 | all |
trixie | 0.3-1 | all |
bookworm | 0.2-3-1 | all |
bullseye | 0.2-2-1 | all |
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License: DFSG free
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An assortment of functions that could be useful in analyzing data from
psychophysical 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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Official Debian packages with lower relevance
python-pyepl
module for coding psychology experiments in Python
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Versions of package python-pyepl |
Release | Version | Architectures |
buster | 1.1.0+git12-g365f8e3-3 | amd64,arm64,armhf,i386 |
jessie | 1.1.0+git12-g365f8e3-2 | amd64,armel,armhf,i386 |
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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python3-bids-validator
validator for the Brain Imaging Data Structure (BIDS) datasets
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Versions of package python3-bids-validator |
Release | Version | Architectures |
trixie | 1.14.5-1 | all |
bullseye | 1.6.0-1 | all |
bookworm | 1.9.9-1 | all |
sid | 1.14.5-1 | all |
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License: DFSG free
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This package contains a Python module to validate BIDS (Brain Imaging
Data Structure) datasets. It does not contain original bids-validator
command line tool (written in JS).
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python3-bmtk
development package for building, simulating and analysing large-scale networks
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Versions of package python3-bmtk |
Release | Version | Architectures |
bullseye | 0.0+git20210109.8572664+ds-1 | amd64 |
bookworm | 1.0.6+ds-1 | amd64 |
trixie | 1.1.1+ds-3 | amd64 |
sid | 1.1.1+ds-3 | amd64 |
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License: DFSG free
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The brain modelling toolkit is a software development package for
building, simulating and analysing large-scale networks of different
levels of resolution.
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python3-pynwb
Python library for working with Neurodata in the NWB format
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Versions of package python3-pynwb |
Release | Version | Architectures |
buster | 0.5.1-1 | all |
sid | 2.8.2-2 | all |
trixie | 2.8.2-2 | all |
upstream | 2.8.3 |
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License: DFSG free
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PyNWB is a Python package for working with NWB files. It provides a
high-level API for efficiently working with Neurodata stored in the
NWB format.
Neurodata Without Borders: Neurophysiology (NWB:N) is a project to
develop a unified data format for cellular-based neurophysiology
data, focused on the dynamics of groups of neurons measured under a
large range of experimental conditions.
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science-psychophysics
Debian Science packages for Psychophysics
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Versions of package science-psychophysics |
Release | Version | Architectures |
buster | 1.10 | all |
sid | 1.14.7 | all |
jessie | 1.4 | all |
stretch | 1.7 | all |
trixie | 1.14.7 | all |
bookworm | 1.14.5 | all |
bullseye | 1.14.2 | 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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