G_estimate {fastFMM} | R Documentation |
Estimates the covariance matrix G for random intercepts that occurs at Step 3 of the FUI method. Applies when 'G_generate' cannot provide an analytic solution.
G_estimate(
data,
L,
out_index,
data_cov,
ztlist,
designmat,
betaHat,
HHat,
RE_table,
non_neg = 1,
MoM = 2,
silent = TRUE
)
data |
A data frame containing all variables in formula |
L |
Number of columns of outcome variables |
out_index |
Indices that contain the outcome variables |
data_cov |
(unsure) A matrix of covariance of the data |
ztlist |
A list of the design matrices corresponding to random effects |
designmat |
Design matrix of the linear models |
betaHat |
Estimated functional fixed effects |
HHat |
(unsure) |
RE_table |
(unsure) A data frame containing point estimates of random effects |
non_neg |
(unsure) |
MoM |
Controls method of moments estimator |
silent |
Whether to print the step description during calculations. Defaults to 'TRUE'. |
A helper function for 'fui'.
An estimation of the G matrix