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> .
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ionr_0.3.0.tar.gz
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ionr.pdf |ionr.html✨
ionr/json (API)
# Install 'ionr' in R: |
install.packages('ionr', repos = c('https://ukuvainik.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:cdc059863a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:ciplotterind_exclind_excl_incind_excl_plotind_excl_stepoptimal_poptimal_p_outscale_simscenario_plotscenario_plot80scenario_sim
Dependencies:bitopscaToolsGPArotationgplotsgtoolsKernSmoothlatticemnormtnlmepsych
Readme and manuals
Help Manual
Help page | Topics |
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Plot confidence intervals | ciplotter |
Wrapper and scripts for indicator exclusion procedure | ind_excl |
Incrementally calls ind_excl_step | ind_excl_inc |
Plot indicator exlusion results with and without excluded indicators | ind_excl_plot |
One step in indicator exclusion procedure | ind_excl_step |
Find an optimal p-value for SONE | optimal_p |
Table and plot the SONE values | optimal_p_out |
Simulate personality scale(s) and an outcome | scale_sim |
Plot scenario simulation results | scenario_plot scenario_plot80 |
Simulate SONE values for scenario. | scenario_sim |