fun_scale: Objective function in intermediate step of EM algorithm when...
In dcgerard/succotashr: Surrogate and Confounder Correction Occuring Together with Adaptive Shrinkage
Description
Objective function in intermediate step of EM algorithm when
updating scale.
Usage
1
fun_scale(scale_val, T, resid_vec, tau_seq, sig_diag)
Arguments
scale_val
A positive numeric. The multiplicative factor to
sig_diag.
T
a matrix of numerics. K by p
resid_vec
A p-vector of numerics. The current residuals.
tau_seq
An K-vector of positive numerics. The mixing
standard deviations, not variances.
sig_diag
A p-vector of positive numerics. The estimated
variances, not standard deviations.
dcgerard/succotashr documentation built on May 15, 2019, 1:25 a.m.
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Description
Objective function in intermediate step of EM algorithm when updating scale.
Usage
1 | fun_scale(scale_val, T, resid_vec, tau_seq, sig_diag)
|
Arguments
scale_val |
A positive numeric. The multiplicative factor to sig_diag. |
T |
a matrix of numerics. K by p |
resid_vec |
A p-vector of numerics. The current residuals. |
tau_seq |
An K-vector of positive numerics. The mixing standard deviations, not variances. |
sig_diag |
A p-vector of positive numerics. The estimated variances, not standard deviations. |
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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