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iotarelr
View on CRAN: Click
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Download and install iotarelr package within the R console
Install from CRAN:
install.packages("iotarelr")
Install from Github:
library("remotes")
install_github("cran/iotarelr")
Install by package version:
library("remotes")
install_version("iotarelr", "0.1.5")
Attach the package and use:
library("iotarelr")
Maintained by
Berding Florian
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.iotarelr . https://github.com/FBerding/iotarelr/issues . https://fberding.github.io/iotarelr/ . iotarelr citation info . iotarelr results . iotarelr.pdf . iotarelr_0.1.5.tar.gz . iotarelr_0.1.5.zip . iotarelr_0.1.5.zip . iotarelr_0.1.5.zip . iotarelr_0.1.5.tgz . iotarelr_0.1.5.tgz . iotarelr_0.1.5.tgz . iotarelr_0.1.5.tgz . iotarelr archive . https://CRAN.R-project.org/package=iotarelr .
First Published: 2022-11-09
Latest Update: 2024-01-25
Description:
Routines and tools for assessing the quality of content
analysis on the basis of the Iota Reliability Concept. The concept is
inspired by item response theory and can be applied to any kind of
content analysis which uses a standardized coding scheme and discrete
categories. It is also applicable for content analysis conducted by
artificial intelligence. The package provides reliability measures
for a complete scale as well as for every single category. Analysis of
subgroup-invariance and error corrections are implemented. This
information can support the development process of a coding scheme and
allows a detailed inspection of the quality of the generated data.
Equations and formulas working in this package are part of Berding et
al. (2022) and Berding and Pargmann
(2022) .
How to cite:
Berding Florian (2022). iotarelr: Iota Inter Coder Reliability for Content Analysis. R package version 0.1.5, https://cran.r-project.org/web/packages/iotarelr. Accessed 30 Apr. 2025.
Previous versions and publish date:
Other packages that cited iotarelr R package
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Other R packages that iotarelr depends,
imports, suggests or enhances
Complete documentation for iotarelr
Functions, R codes and Examples using
the iotarelr R package
Some associated functions: EM_algo_c . check_conformity_c . check_dgf . check_new_rater . compute_iota1 . compute_iota2 . est_con_multinominal_c . est_expected_categories . fct_log_likelihood_c . get_consequences . get_iota2_measures . get_patterns . get_random_start_values_class_sizes . get_random_start_values_p . get_summary . grad_ll . iotarelr_new_rater . iotarelr_written_exams . log_likelihood_multi_c . plot_iota . plot_iota2_alluvial .
Some associated R codes: RcppExports.R . additional_functions.R . data_new_rater.R . iota_version_1.R . iota_version_2.R . plots.R . writtenexams.R . Full iotarelr package functions and examples
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