Description Usage Arguments Value
calculate classification, prediction and accuracy errors for fitted
FuncompCGL
model in simulation.
1 2 | ERROR_fun(beta_fit, beta_true, basis_fit, basis_true, sseq, m, p, Nzero_group,
tol = 0)
|
beta_fit |
fitted coefficients vector |
beta_true |
true coefficientse vector |
basis_fit |
basis matrix with selected df |
basis_true |
basis matrix with true df |
sseq |
sequence of time points used to generate basis matrix |
m |
number of time-invariant variables |
p |
number of compositional varialbes |
Nzero_group |
number of true None zero group |
tol |
tolerance |
a list
Non.zero |
None zero rows in coefficient matrix |
class_error |
classification errors, including FP, FN, FPR, FNR, etc. |
coef_error |
|
curve_error |
norms for curve error by function norms |
group_norm |
L2 norm for rows in coefficients matrix |
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