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ionr
View on CRAN: Click
here
Download and install ionr package within the R console
Install from CRAN:
install.packages("ionr")
Install from Github:
library("remotes")
install_github("cran/ionr")
Install by package version:
library("remotes")
install_version("ionr", "0.3.0")
Attach the package and use:
library("ionr")
Maintained by
Uku Vainik
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-11
Latest Update: 2016-02-11
Description:
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> .
How to cite:
Uku Vainik (2016). ionr: Test for Indifference of Indicator. R package version 0.3.0, https://cran.r-project.org/web/packages/ionr. Accessed 09 Apr. 2025.
Previous versions and publish date:
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Other packages that cited ionr R package
View ionr citation profile
Other R packages that ionr depends,
imports, suggests or enhances
Complete documentation for ionr
Functions, R codes and Examples using
the ionr R package
Some associated functions: ciplotter . ind_excl . ind_excl_inc . ind_excl_plot . ind_excl_step . optimal_p . optimal_p_out . scale_sim . scenario_plot . scenario_sim .
Some associated R codes: ind_excl.R . ind_excl_inc.R . ind_excl_plot.R . ind_excl_step.R . optimal_p.R . optimal_p_out.R . scale_sim.R . scenario_plot.R . scenario_sim.R . zzz.R . Full ionr package functions and examples
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