This package is considered a duplicate. The official version of this package is found at:https://dexter-psychometrics.r-universe.dev/dexter

Package: dexter 1.5.0

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_1.5.0.tar.gz
dexter_1.5.0.tar.gz(r-4.5-noble)dexter_1.5.0.tar.gz(r-4.4-noble)
dexter_1.5.0.tgz(r-4.4-emscripten)dexter_1.5.0.tgz(r-4.3-emscripten)
dexter.pdf |dexter.html✨
dexter/json (API)
NEWS

# Install 'dexter' in R:

install.packages('dexter', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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

Uses libs:

c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

ratedData - Rated data
ratedDataProperties - Item properties in the rated data
ratedDataRules - Scoring rules for the rated data
verbAggrData - Verbal aggression data
verbAggrProperties - Item properties in the verbal aggression data
verbAggrRules - Scoring rules for the verbal aggression data

5.99 score 2 packages 135 scripts 584 downloads 45 exports 36 dependencies

Last updated 5 months agofrom:7e71cd47c1. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 03 2024
R-4.5-linux-x86_64	OK	Nov 03 2024

Exports:ability ability_tables add_booklet add_item_properties add_person_properties add_response_data close_project design_info DIF distractor_plot expected_score fit_domains fit_enorm fit_inter get_booklets get_design get_items get_persons get_resp_data get_resp_matrix get_responses get_rules get_testscores get_variables individual_differences information keys_to_rules latent_cor open_project p_score plausible_scores plausible_values probability_to_pass profile_plot profile_tables profiles r_score r_score_IM read_oplm_par standards_3dc standards_db start_new_project start_new_project_from_oplm tia_tables touch_rules

Dependencies:BH bit bit64 blob cachem cli cpp11 DBI dplyr dqrng fansi fastmap generics glue lifecycle magrittr MASS memoise pillar pkgconfig plogr purrr R6 Rcpp RcppArmadillo rlang RSQLite sitmo stringi stringr tibble tidyr tidyselect utf8 vctrs withr

Dexter: The Fundamentals

Ivailo Partchev, Jesse Koops, Timo Bechger, Gunter Maris

Rendered fromdexter.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2024-07-06
Started: 2017-02-08

Equating a Pass-Fail Score

Timo Bechger, Jesse Koops and Ivailo Partchev

Rendered fromEquating.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2024-07-06
Started: 2018-05-17

Exploring Differential Items Functioning with Dexter

Timo Bechger

Rendered fromDIF_vignette.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2024-01-20
Started: 2017-10-22

One theta to rule them all: Test Individual Differences

Timo Bechger and Ivailo Partchev

Rendered fromTest_Individual_differences.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2024-07-06
Started: 2017-07-18

Plausible Values in Dexter

Timo Bechger, Jesse Koops and Ivailo Partchev

Rendered fromPlausible_Values.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2024-01-20
Started: 2017-07-18

How Members of Different Groups Obtain the Same Test Score: Profile Plots in Dexter

Timo Bechger and Ivailo Partchev

Rendered fromprofile-plots.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2024-01-20
Started: 2017-02-08

Citation

Readme and manuals

Help Manual

Help page	Topics
Dexter: data analyses for educational and psychological tests.	dexter-package dexter
Estimate abilities	ability ability_tables
Add response data to a project	add_booklet add_response_data
Add item properties to a project	add_item_properties
Add person properties to a project	add_person_properties
Close a project	close_project
extract equating information	coef.p2pass
extract enorm item parameters	coef.prms
Information about the design	design_info
Exploratory test for Differential Item Functioning	DIF
Distractor plot	distractor_plot
Estimate the Rasch and the Interaction model per domain	fit_domains
Fit the extended nominal response model	fit_enorm
Estimate the Interaction and the Rasch model	fit_inter
Booklets entered in a project	get_booklets
Test design	get_design
Items in a project	get_items
Persons in a project	get_persons
Functions for developers	get_resp_data get_resp_matrix
Selecting data	get_responses
Get scoring rules	get_rules
Get test scores	get_testscores
Variables that are defined in the project	get_variables
Test individual differences	individual_differences
Functions of theta	expected_score information p_score r_score
Derive scoring rules from keys	keys_to_rules
Latent correlations	latent_cor
Open an existing project	open_project
Draw plausible test scores	plausible_scores
Draw plausible values	plausible_values
plot method for pairwise DIF statistics	plot.DIF_stats
A plot method for probability_to_pass	plot.p2pass
Plot for the extended nominal Response model	plot.prms
A plot method for the interaction model	plot.rim
The probability to pass on a reference test given a score on a new booklet	probability_to_pass
Profile plot	profile_plot
Profile analysis	profiles profile_tables
Simulation from the interaction model	r_score_IM
Rated data	ratedData
Item properties in the rated data	ratedDataProperties
Scoring rules for the rated data	ratedDataRules
Read item parameters from oplm PAR or CML files	read_oplm_par
Standard setting	coef.sts_par plot.sts_par standards_3dc
Export a standard setting database for use by the free 3DC application	standards_db
Start a new project	start_new_project
Start a new project from oplm files	start_new_project_from_oplm
Simple test-item analysis	tia_tables
Add or modify scoring rules	touch_rules
Verbal aggression data	verbAggrData
Item properties in the verbal aggression data	verbAggrProperties
Scoring rules for the verbal aggression data	verbAggrRules