README.md
In chavent/sparsePCA: sparse and group-sparse PCA
Description
This package performs sparse or group-sparse principal component analysis. Deflation and block algorithms are implemented. Five different definition of explained variance for a set of non orhogonal components are also implemented.
Install
To install the current development version from github, use :
```{r eval=FALSE}
devtools::install_github("chavent/sparsePCA")
This needs the devtools package to be installed :
install.packages("devtools")
```
chavent/sparsePCA documentation built on July 2, 2017, 1:14 a.m.
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Description
This package performs sparse or group-sparse principal component analysis. Deflation and block algorithms are implemented. Five different definition of explained variance for a set of non orhogonal components are also implemented.
Install
To install the current development version from github, use :
```{r eval=FALSE} devtools::install_github("chavent/sparsePCA")
This needs the devtools package to be installed :
install.packages("devtools")
```
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.
As an Amazon Associate I earn from qualifying purchases.
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