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iccCounts
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Download and install iccCounts package within the R console
Install from CRAN:
install.packages("iccCounts")
Install from Github:
library("remotes")
install_github("cran/iccCounts")
Install by package version:
library("remotes")
install_version("iccCounts", "1.1.2")
Attach the package and use:
library("iccCounts")
Maintained by
Josep L. Carrasco
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[Scholar Profile | Author Map]
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First Published: 2021-06-01
Latest Update: 2024-02-28
Description:
Estimates the intraclass correlation coefficient (ICC) for count data to assess repeatability (intra-methods concordance) and concordance (between-method concordance). In the concordance setting, the ICC is equivalent to the concordance correlation coefficient estimated by variance components. The ICC is estimated using the estimates from generalized linear mixed models. The within-subjects distributions considered are: Poisson; Negative Binomial with additive and proportional extradispersion; Zero-Inflated Poisson; and Zero-Inflated Negative Binomial with additive and proportional extradispersion. The statistical methodology used to estimate the ICC with count data can be found in Carrasco (2010) .
How to cite:
Josep L. Carrasco (2021). iccCounts: Intraclass Correlation Coefficient for Count Data. R package version 1.1.2, https://cran.r-project.org/web/packages/iccCounts. Accessed 22 Dec. 2024.
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Complete documentation for iccCounts
Functions, R codes and Examples using
the iccCounts R package
Some associated functions: AF . DispersionTest . EPP . GOF_check . Grimso . ICC . VarComp . ZeroTest . fit_model_con . fit_model_rep . icc_counts . plot.GOF . plot_BA . r_NB1 . r_NB1_2 . r_NB2 . r_NB2_2 . r_Pois . r_Pois2 . r_ZINB1 . r_ZINB1_2 . r_ZINB2 . r_ZINB2_2 . r_ZIP . r_ZIP2 . r_est_con . r_est_con_zi . r_est_rep . r_est_rep_zi . rqr . rqr_nb1 . rqr_nb2 . rqr_pois . rqr_zinb1 . rqr_zinb2 . rqr_zip . se_r_NB1 . se_r_NB1_2 . se_r_NB2 . se_r_NB2_2 . se_r_Pois . se_r_Pois2 . se_r_ZINB1 . se_r_ZINB1_2 . se_r_ZINB2 . se_r_ZINB2_2 . se_r_ZIP . se_r_ZIP2 .
Some associated R codes: auxiliar_functions.R . core_functions.R . data.R . gof_functions.R . Full iccCounts package functions and examples
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