Coef method for

Coef method for "plmm" class

Usage

# S3 method for class 'plmm'
coef(object, lambda, which = 1:length(object$lambda), drop = TRUE, ...)

Arguments

object: An object of class "plmm."
lambda: A numeric vector of lambda values.
which: Vector of lambda indices for which coefficients to return.
drop: Logical.
...: Additional arguments.

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$X, outcome_col = admix$y)
fit <- plmm(design = admix_design)
coef(fit)[1:10, 41:45]
#>                 0.02586     0.02411     0.02249     0.02097     0.01956
#> (Intercept)  6.50458550  6.53962944  6.57080027  6.59746906  6.62130139
#> Snp1        -0.69640800 -0.70705286 -0.71671404 -0.72519450 -0.73344673
#> Snp2         0.12755219  0.13288164  0.13757472  0.14174103  0.14580213
#> Snp3         3.44235797  3.45135332  3.46004369  3.47126149  3.48122632
#> Snp4         0.02681945  0.03589876  0.04449564  0.05283671  0.06070351
#> Snp5         0.20898024  0.23442725  0.25670947  0.27670485  0.29547753
#> Snp6        -0.07096336 -0.07565843 -0.08011181 -0.08427045 -0.08800835
#> Snp7         0.10236895  0.10942728  0.11619760  0.12233142  0.12815783
#> Snp8         0.00000000  0.00000000  0.00000000  0.00000000  0.00000000
#> Snp9         0.26169664  0.26434601  0.26729738  0.27037993  0.27312787