golden_section_2d: Golden section two dimensional grid search on L1 lmmen...
In lmmen: Linear Mixed Model Elastic Net

Description Usage Arguments Value Examples

Solve for local minimum with two dimensional golden section on L1 lmmen penalties.

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golden_section_2d(dat, init.beta, l2 = c(1, 1), opt.lb = c(0, 0),
  opt.ub = c(1, 1), opt.maxiter = 100, opt.tol = 0.1, opt.tau = (sqrt(5)
  - 1)/2)

`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

## 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)