yakuan-chen/fosr.vs: An implementation of Function-on-Scalar Regression with Variable Selection
Implementation of an iterative algorithm for function-on-scalar regression with variable selection by alternatively updating the coefficients and covariance structure. Variable selection is performed at the group level. Covariance matrix estimate is obtained by performing FPCA on the residual matrix.
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Package details |
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| Maintainer | |
| License | GPL (>=2) |
| Version | 0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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