Description Usage Arguments Value Examples
Solve for local minimum with two dimensional golden section on L1 lmmen penalties.
1 2 3 |
dat |
matrix, matrix that includes y (response),X (population covariates), Z (random effects covariates (not incl random intercept)) |
init.beta |
numeric, initial fixed effects estimates |
l2 |
numeric, L2 penalty levels Default: c(1, 1) |
opt.lb |
numeric, start of interval for L1 fixed and L1 random effects, Default: c(0, 0) |
opt.ub |
numeric, end of interval for L1 fixed and L1 random effects Default: c(1, 1) |
opt.maxiter |
numeric, maximum iterations to search, Default: 100 |
opt.tol |
numeric, accuracy value, Default: 0.1 |
opt.tau |
numeric, golden proportion coefficient (~0.618) Default: (sqrt(5) - 1)/2 |
lmmen list object inluding lmmen fit object of min BIC solution and summary statistics from the grid search
1 2 3 4 5 | ## Not run:
dat <- initialize_example(n.i = 5,n = 30,q=4,seed=1)
init <- init.beta(dat,method='glmnet')
golden_section_2d(dat,init)
## End(Not run)
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