Debian Med Project
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Summary
Psychology
Debian Med-pakker for psykologi

Denne metapakke indeholder afhængigheder for en samling af programmer, som kan være nyttige for psykologisk forskning.

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

Debian Med Psychology packages

Official Debian packages with high relevance

Praat
program for taleanalyse og -syntese
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Ifølge programmets forfattere så udfører praat »fonetik via computeren«. Via sin grafiske grænseflade, flere funktioner for taleanalyse er tilgængelige: spektogrammer, cochleogrammer, og tonehøjde og formant- udtræk. Artikulær syntese samt syntese fra tonehøjde, formant og intensitet er også tilgængelig. Andre egenskaber indgår segmentering, brug af etiketter med brug af det fonetiske alfabet, samt beregning af statistikker. Praat er konfigurerbar og udvidelig gennem dets eget skriptsprog og har bestemmelser for kommunikation med andre programmer.

Please cite: Paul Boersma: Praat, a system for doing phonetics by computer. Glot International 5(9/10):341-345 (2001)
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Psignifit
Tilpasser og tester hypoteser om psykometriske funktioner
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Psignifit tillader tilpasning af psykometriske funktioner til datasæt, mens der bevares fuld kontrol over et stort antal parametre. Data kan enten læses fra tekstfiler eller videresendes via en datakanal.

Psignifit udfører beregningen af konfidensintervaller samt goodness-of-fit test.

Dette er udgaven til kommandolinjen.

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Psychopy
Miljø for oprettelse af psykologistimuli i Python
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PsychoPy tilbyder et miljø for oprettelse af psykologiske stimuli, der bruger skriptsproget Python. Det kombinerer de grafiske fordele i OpenGL med nem Pythonsyntaks for at give psykofysik en fri og simpel stimulipræsentation og kontrolpakke.

Formålet er at tilbyde, for travle forskere, værktøjer til at kontrollere timing og vinduesopsætning og et simpelt sæt af på forhånd pakkede stimuli og metoder. PsychoPy indeholder.

  • IDE GUI for kodning i et funktionsrigt skriptsprog (Python)
  • Builder GUI for hurtig udvikling af stimuleringssekvenser
  • Brug af udstyrsaccelereret grafik (OpenGL)
  • Integration med Spectrascan PR650 for nem skærmkalibrering
  • Simple rutiner for staircase og konstant stimulieksperimentelle metoder samt kurvetilpasning og bootstrapping
  • Simple (eller komplekse) grafiske brugerflader via wxPython
  • Nemme grænseflader til joystick, mus, lydkort etc. via PyGame
  • Videoafspilning (MPG, DivX, AVI, QuickTime etc.) som stimuli
The package is enhanced by the following packages: python-pyoptical
Please cite: J. W. Peirce: PsychoPy - Psychophysics software in Python. (2007)
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Python-pyepl
Modul for kodning af psykologiske eksperimenter i Python
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PyEPL er et værktøjssæt for stimulilevering og svarregistrering, som skal bruges til oprettelse af psykologieksperimenter (samt neurovidenskab, markedsføringsforskning og andre).

Det tilbyder

  • præsentation: Både visuelle og auditive stimuli
  • svarregistrering: både manuel (tastatur/joystick) og lyd (mikrofon) tidsstemplet
  • sync-pulserende: synkroniserer din adfærdsmæssige opgave med ekstern erhvervelsesudstyr
  • fleksibilitet i kodningen af forskellige eksperimenter på grund af brugen af Python som en beskrivelsessprog
  • Hurtig udførelse af kritiske punkter på grund af kaldene til lænkede og kompilerede biblioteker

Denne værktøjskasse er et alternativ til det vidt udbredte kommercielle produkt E'(E-Prime).

Denne pakke tilbyder PyEPL for understøttede versioner af Python.

The package is enhanced by the following packages: python-pyoptical
Python-pypsignifit
psychometric analysis of psychophysics data in Python
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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.

R-cran-foreign
GNU R-pakke til at læse/skrive data fra andre statistiksystemer
Maintainer: Dirk Eddelbuettel
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Denne pakke tilbyder funktioner for læsning og skrivning af data lagret af statistiske pakker såsom Minitab, S, SAS, SPSS, Stata ...

Denne pakke er del af et sæt af pakker, som »anbefales« af R Core, og leveres med kildeudgivelser via opstrøm af R.

R-cran-psy
GNU R-procedurer for psykometri
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Denne pakke inkluderer flere procedurer brugt i psykometri og skalering, inklusive:

  • Cohens Kappa og vægtet Kappa (two-rater agreement tests)
  • Cronbachs Alfa (en element-troværdighed test)
  • Focused Principal Components Analysis
  • Intraclass correlation coefficients
  • Lights Kappa (en N-rater aftaletest)
  • Screeplots og grafiske repræsentationer af principielle komponenter
Remark of Debian Med team: r-cran-psy is orphaned upstream.

Hint to users of statistical psychological software. This package seems to be orphaned upstream. There are several related packages at CRAN for instance. See the list of prospective packages below and drop the Debian Med team a note if you are interested in one of them.

Official Debian packages with lower relevance

Python-visionegg
Python library for 2D/3D visual stimulus generation
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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.

Please cite: Andrew D. Straw: Vision Egg: An Open-Source Library for Realtime Visual Stimulus Generation. Frontiers in Neuroinformatics 2(4) (2008)
Science-psychophysics
Debian Science - pakker for psykofysik
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Denne metapakke vil installere Debianpakker, som kan være nyttige for udførsel af eksperimenter relateret til fysisk stimuli og deres fysiologiske effekter.

Udvalget af pakker er målrettet programmer for stimuli. For yderligere programmer relateret til analyse af de indhentede data se science-neuroscience-cognitive, med-imaging afhængig af domænanvendelsen. Kig derudover i science-bci da disse pakker ofte tilbyder en fuldstændig ramme inklusiv stimulilevering.

Unofficial packages built by somebody else

Miscpsycho
Miscellaneous Psychometric Analyses
License: GPL
Language: R

Miscellaneous functions for psychometric problems

Psych
Procedures for Psychological, Psychometric, and Personality Research
License: GPL2+
Language: R

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.

Psychometric
Applied Psychometric Theory
License: GPL2+
Language: R

Contains functions useful for correlation theory, meta-analysis (validity-generalization), reliability, item analysis, inter-rater reliability, and classical utility

Psychotree
Recursive Partitioning Based on Psychometric Models
License: GPL2
Language: R

Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package party). Currently, only Bradley-Terry trees are implemented.

Psyphy
Functions for analyzing psychophysical data in R
License: GPL
Language: R

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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