Package: ionr 0.3.0

ionr: Test for Indifference of Indicator

Provides item exclusion procedure, which is a formal method to test 'Indifference Of iNdicator' (ION). When a latent personality trait-outcome association is assumed, then the association strength should not depend on which subset of indicators (i.e. items) has been chosen to reflect the trait. Personality traits are often measured (reflected) by a sum-score of a certain set of indicators. Item exclusion procedure randomly excludes items from a sum-score and tests, whether the sum-score - outcome correlation changes. ION has been achieved, when any item can be excluded from the sum-score without the sum-score - outcome correlation substantially changing . For more details, see Vainik, Mottus et. al, (2015) "Are Trait-Outcome Associations Caused by Scales or Particular Items? Example Analysis of Personality Facets and BMI",European Journal of Personality DOI: <10.1002/per.2009> .

Authors:Uku Vainik <[email protected]>, Rene Mottus <[email protected]>

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

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

11 exports 0.00 score 10 dependencies 7 scripts 141 downloads

Last updated 9 years agofrom:cdc059863a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winOKAug 22 2024
R-4.5-linuxOKAug 22 2024
R-4.4-winOKAug 22 2024
R-4.4-macOKAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:ciplotterind_exclind_excl_incind_excl_plotind_excl_stepoptimal_poptimal_p_outscale_simscenario_plotscenario_plot80scenario_sim

Dependencies:bitopscaToolsGPArotationgplotsgtoolsKernSmoothlatticemnormtnlmepsych