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README.md
In refund.shiny: Interactive Plotting for Functional Data Analyses
refund.shiny
Interactive plots of functional data analyses.
The primary function is plot_shiny, which calls other functions depending on the class of the object. The supported classes are fpca for functional principal components analyses, mfpca for multilevel FPCA, lfpca for longitudinal FPCA, and fosr for function-on-scalar regression.
This paper describes the functionality in the package in detail.
Installation
To install the latest version directly from Github, please use:
install.packages("devtools")
devtools::install_github("refunders/refund.shiny")
Examples
Try the refund.shiny package in your browser
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refund.shiny documentation built on Oct. 11, 2022, 1:05 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
refund.shiny
Interactive plots of functional data analyses.
The primary function is plot_shiny, which calls other functions depending on the class of the object. The supported classes are fpca for functional principal components analyses, mfpca for multilevel FPCA, lfpca for longitudinal FPCA, and fosr for function-on-scalar regression.
This paper describes the functionality in the package in detail.
Installation
To install the latest version directly from Github, please use:
install.packages("devtools")
devtools::install_github("refunders/refund.shiny")
Examples
Try the refund.shiny package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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