rmcorr-package | R Documentation |
Compute the repeated measures correlation, a statistical technique for determining the overall within-individual relationship among paired measures assessed on two or more occasions, first introduced by Bland and Altman (1995). Includes functions for diagnostics, p-value, effect size with confidence interval including optional bootstrapping, as well as graphing. Also includes several example datasets. For more details, see the web documentation https://lmarusich.github.io/rmcorr/index.html and the original paper: Bakdash and Marusich (2017) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3389/fpsyg.2017.00456")}.
Compute the repeated measures correlation, a statistical technique for determining the overall within-individual relationship among paired measures assessed on two or more occasions, first introduced by Bland and Altman (1995). Includes functions for diagnostics, p-value, effect size with confidence interval including optional bootstrapping, as well as graphing. Also includes several example datasets. For more details, see the web documentation <https://lmarusich.github.io/rmcorr/index.html> and the original paper: Bakdash and Marusich (2017) <doi:10.3389/fpsyg.2017.00456>.
Maintainer: Laura R. Marusich lmarusich@gmail.com (ORCID)
Authors:
Jonathan Z. Bakdash jbakdash@gmail.com (ORCID)
Bakdash, J.Z. & Marusich, L.R. (2017). Repeated Measures Correlation, Frontiers in Psychology, 8, 456, \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.3389/fpsyg.2017.00456")}
Bakdash, J.Z. & Marusich, L.R. (2019). Corrigendum: Repeated Measures Correlation, Frontiers in Psychology, 10, \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.3389/fpsyg.2019.01201")}
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