glmnetMixedPenaltyGeneralPurpose: mixed optimization with glmnet optimizer
In lessSEM: Non-Smooth Regularization for Structural Equation Models
glmnetMixedPenaltyGeneralPurpose R Documentation
mixed optimization with glmnet optimizer
Description
Object for mixed optimization with
glmnet optimizer
Value
a list with fit results
Fields
newcreates a new object. Requires a list with control elements
setHessianchanges the Hessian of the model. Expects a matrix
optimizeoptimize the model. Expects a vector with starting values,
a SEM of type SEM_Cpp, a theta and a lambda value.
lessSEM documentation built on May 29, 2024, 7:10 a.m.
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| glmnetMixedPenaltyGeneralPurpose | R Documentation |
mixed optimization with glmnet optimizer
Description
Object for mixed optimization with glmnet optimizer
Value
a list with fit results
Fields
newcreates a new object. Requires a list with control elements
setHessianchanges the Hessian of the model. Expects a matrix
optimizeoptimize the model. Expects a vector with starting values, a SEM of type SEM_Cpp, a theta and a lambda value.
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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