Package: gofar 0.1

Aditya Mishra

gofar: Generalized Co-Sparse Factor Regression

Divide and conquer approach for estimating low-rank and sparse coefficient matrix in the generalized co-sparse factor regression. Please refer the manuscript 'Mishra, Aditya, Dipak K. Dey, Yong Chen, and Kun Chen. Generalized co-sparse factor regression. Computational Statistics & Data Analysis 157 (2021): 107127' for more details.

Authors:Aditya Mishra [aut, cre], Kun Chen [aut]

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Peer review:

Bug tracker:https://github.com/amishra-stats/gofar/issues

On CRAN:

4 exports 2 stars 0.83 score 38 dependencies 1 scripts 199 downloads

Last updated 3 years agofrom:429e113be9. Checks:OK: 1 WARNING: 8. Indexed: yes.

Exports:gofar_controlgofar_pgofar_sgofar_sim

Dependencies:clicodetoolscolorspacefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppEigenrlangrrpackscalesshapesurvivaltibbleutf8vctrsviridisLitewithr