Coef method for "plmm" class
Value
Either a numeric matrix (if model was fit on data stored in memory)
or a sparse matrix (if model was fit on data stored filebacked). Rownames are
feature names, columns are values of lambda.
Examples
admix_design <- create_design(X = admix$X, y = admix$y)
fit <- plmm(design = admix_design)
coef(fit)[1:10, 41:45]
#> 0.1849 0.1794 0.1741 0.1689 0.1638
#> (Intercept) 4.5317512 4.5781075 4.6268174 4.6741033 4.725200
#> Snp1 -0.3589324 -0.3729881 -0.3867645 -0.4001278 -0.413018
#> Snp2 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
#> Snp3 1.0848873 1.1587859 1.2298792 1.2988576 1.364996
#> Snp4 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
#> Snp5 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
#> Snp6 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
#> Snp7 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
#> Snp8 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
#> Snp9 0.0000000 0.0000000 0.0000000 0.0000000 0.000000