This function constructs a "param" beta from a vector or a matrix of values of the coefficients. A param object can have multiple values of tuning parameter lambda.
1 |
p |
number of levels of T |
q |
number of levels of N |
m |
number of data sets (levels of G) |
G.levels |
levels of group indicator |
lambda |
the tuning parameter associated with this beta, could be a scalar or a vector |
beta.data |
the values of the coefficients. For a single tuning parameter, it is a vector; for multiple tuning parameters, it is a matrix with each row associated with one tuning parameter |
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