optim_newton_control: Control parameters for damped Newton
In hoangtt1989/BICEP: Bi-linear algorithm for composite empirical likelihood
Description
Control parameters for damped Newton
Usage
1
2
optim_newton_control(ls_beta = 0.7, ls_eps = 1e-12, ls_c1 = 0.25,
ls_maxit = 100, mod_hess = F)
Arguments
ls_beta
by how much should the step-size increase or decrease in each line search iteration?
ls_eps
you can miss the line search check by this much.
ls_c1
the fraction of the decrease in f predicted by linear extrapolation that we will accept.
ls_maxit
the maximum number of line search iterations.
mod_hess
the Hessian to be positive definite - recommended to leave this FALSE.
hoangtt1989/BICEP documentation built on May 28, 2019, 3:37 p.m.
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Description
Control parameters for damped Newton
Usage
1 2 | optim_newton_control(ls_beta = 0.7, ls_eps = 1e-12, ls_c1 = 0.25,
ls_maxit = 100, mod_hess = F)
|
Arguments
ls_beta |
by how much should the step-size increase or decrease in each line search iteration? |
ls_eps |
you can miss the line search check by this much. |
ls_c1 |
the fraction of the decrease in f predicted by linear extrapolation that we will accept. |
ls_maxit |
the maximum number of line search iterations. |
mod_hess |
the Hessian to be positive definite - recommended to leave this |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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