Package: dexter 1.8.1

Jesse Koops

dexter: Data Management and Analysis of Tests

A system for the management, assessment, and psychometric analysis of data from educational and psychological tests.

Authors:Gunter Maris [aut], Timo Bechger [aut], Jesse Koops [aut, cre], Ivailo Partchev [aut]

dexter_1.8.1.tar.gz
dexter_1.8.1.zip(r-4.7-x86_64)dexter_1.8.1.zip(r-4.7-arm64)dexter_1.8.1.zip(r-4.6-x86_64)dexter_1.8.1.zip(r-4.6-arm64)dexter_1.8.1.zip(r-4.5-x86_64)
dexter_1.8.1.tgz(r-4.6-x86_64)dexter_1.8.1.tgz(r-4.6-arm64)dexter_1.8.1.tgz(r-4.5-x86_64)dexter_1.8.1.tgz(r-4.5-arm64)
dexter_1.8.1.tar.gz(r-4.7-arm64)dexter_1.8.1.tar.gz(r-4.7-x86_64)dexter_1.8.1.tar.gz(r-4.6-arm64)dexter_1.8.1.tar.gz(r-4.6-x86_64)
dexter_1.8.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dexter/json (API)

# Install 'dexter' in R:
install.packages('dexter', repos = c('https://dexter-psychometrics.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dexter-psychometrics/dexter/issues

Pkgdown/docs site:https://dexter-psychometrics.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

openblascppopenmp

8.74 score 9 stars 1 packages 175 scripts 703 downloads 45 exports 34 dependencies

Last updated from:85fc53a194. Checks:15 OK. Indexed: yes.

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linux-devel-x86_64OK242
source / vignettesOK296
linux-release-arm64OK219
linux-release-x86_64OK242
macos-release-arm64OK271
macos-release-x86_64OK436
macos-oldrel-arm64OK303
macos-oldrel-x86_64OK472
windows-devel-arm64OK468
windows-devel-x86_64OK323
windows-release-arm64OK484
windows-release-x86_64OK259
windows-oldrel-x86_64OK232
wasm-releaseOK205

Exports:abilityability_tablesadd_bookletadd_item_propertiesadd_person_propertiesadd_response_dataclose_projectdesign_infoDIFdistractor_plotexpected_scorefit_domainsfit_enormfit_interget_bookletsget_designget_itemsget_personsget_resp_dataget_resp_matrixget_responsesget_rulesget_testscoresget_variablesindividual_differencesinformationkeys_to_ruleslatent_coropen_projectp_scoreplausible_scoresplausible_valuesprobability_to_passprofile_plotprofile_tablesprofilesr_scorer_score_IMread_oplm_parstandards_3dcstandards_dbstart_new_projectstart_new_project_from_oplmtia_tablestouch_rules

Dependencies:BHbitbit64blobcachemclicpp11DBIdplyrdqrngfastmapgenericsgluelifecyclemagrittrMASSmemoisepillarpkgconfigpurrrR6RcppRcppArmadillorlangRSQLitesitmostringistringrtibbletidyrtidyselectutf8vctrswithr

Equating a Pass-Fail Score
An illustration with complete psychometric data | Incomplete Data | The probability to pass | Sensitivity and specificity | Conclusion | Technical Appendix | References
Rendered fromEquating.Rmdusingknitr::rmarkdown

Last update: 2026-04-29
Started: 2018-05-17

Plausible Values in Dexter
References
Rendered fromPlausible_Values.Rmdusingknitr::rmarkdown

Last update: 2026-04-29
Started: 2017-07-18

How Members of Different Groups Obtain the Same Test Score: Profile Plots in Dexter
References
Rendered fromprofile-plots.Rmdusingknitr::rmarkdown

Last update: 2025-06-04
Started: 2017-02-08

Dexter: The Fundamentals
References
Rendered fromdexter.Rmdusingknitr::rmarkdown

Last update: 2025-01-21
Started: 2017-02-08

One theta to rule them all: Test Individual Differences
References
Rendered fromTest_Individual_differences.Rmdusingknitr::rmarkdown

Last update: 2024-04-12
Started: 2017-07-18

Exploring Differential Items Functioning with Dexter
Test Differential Items Functioning | Exploring DIF | Limitations | References
Rendered fromDIF_vignette.Rmdusingknitr::rmarkdown

Last update: 2024-01-10
Started: 2017-10-22

Readme and manuals

Help Manual

Help pageTopics
Dexter: data analyses for educational and psychological tests.dexter-package dexter
Estimate abilitiesability ability_tables
Add response data to a projectadd_booklet add_response_data
Add item properties to a projectadd_item_properties
Add person properties to a projectadd_person_properties
Close a projectclose_project
extract enorm item parameterscoef.enorm vcov.enorm
Extract interaction model parameterscoef.inter
latent correlationscoef.latent_cor
extract equating informationcoef.p2pass
Information about the designdesign_info
Exploratory test for Differential Item FunctioningDIF
Distractor plotdistractor_plot
Estimate the Rasch and the Interaction model per domainfit_domains
Fit the extended nominal response modelfit_enorm
Estimate the Interaction and the Rasch modelfit_inter
Booklets entered in a projectget_booklets
Test designget_design
Items in a projectget_items
Persons in a projectget_persons
Functions for developersget_resp_data get_resp_matrix
Selecting dataget_responses
Get scoring rulesget_rules
Get test scoresget_testscores
Variables that are defined in the projectget_variables
Test individual differencesindividual_differences
Functions of thetaexpected_score information p_score r_score
Derive scoring rules from keyskeys_to_rules
Latent correlationslatent_cor
Open an existing projectopen_project
Draw plausible test scoresplausible_scores
Draw plausible valuesplausible_values
plot method for pairwise DIF statisticsplot.DIF_stats
Plot for the extended nominal Response modelplot.enorm
A plot method for the interaction modelplot.inter
A plot method for probability_to_passplot.p2pass
The probability to pass on a reference test given a score on a new bookletprobability_to_pass
Profile plotprofile_plot
Profile analysisprofiles profile_tables
Simulation from the interaction modelr_score_IM
Rated dataratedData
Item properties in the rated dataratedDataProperties
Scoring rules for the rated dataratedDataRules
Read item parameters from oplm PAR or CML filesread_oplm_par
Standard settingcoef.sts_par plot.sts_par standards_3dc
Export a standard setting database for use by the free 3DC applicationstandards_db
Start a new projectstart_new_project
Start a new project from oplm filesstart_new_project_from_oplm
Simple test-item analysistia_tables
Add or modify scoring rulestouch_rules
Verbal aggression dataverbAggrData
Item properties in the verbal aggression dataverbAggrProperties
Scoring rules for the verbal aggression dataverbAggrRules