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ProcMod
View on CRAN: Click
here
Download and install ProcMod package within the R console
Install from CRAN:
install.packages("ProcMod")
Install from Github:
library("remotes")
install_github("cran/ProcMod") Install by package version:
library("remotes")
install_version("ProcMod", "1.0.8") Attach the package and use:
library("ProcMod")
Maintained by
Eric Coissac
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All associated links for this package
First Published: 2019-11-25
Latest Update: 2021-05-12
Description:
Estimates corrected Procrustean correlation between matrices for removing overfitting effect. Coissac Eric and Gonindard-Melodelima Christelle (2019) .
How to cite:
Eric Coissac (2019). ProcMod: Informative Procrustean Matrix Correlation. R package version 1.0.8, https://cran.r-project.org/web/packages/ProcMod. Accessed 14 Jun. 2026.
Previous versions and publish date:
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Complete documentation for ProcMod
Functions, R codes and Examples using
the ProcMod R package
Some associated functions: as.data.frame.dist . as_procmod_frame . australia . bicenter . corls_test . dim.procmod_frame . internal.Trace . internal.getPermuteMatrix . internal.procmod_coerce_value . internal.rep_matrix . is_euclid . is_procmod_frame . names.procmod_corls . names.procmod_varls . nmds . ortho . pca . pcoa . print.procmod_corls . print.procmod_varls . procmod . procmod_frame . protate . simulate_correlation . simulate_matrix . subset.procmod_frame . varls .
Some associated R codes: corls_test.R . covls.R . internals.R . multivariate.R . procmod.R . procmod_frame.R . procuste.R . simulate.R . Full ProcMod package functions and examples
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