prelslx {lslx} | R Documentation |
R6 class to obtain preliminary result for semi-confirmatory structural equation modeling
Description
R6 class to obtain preliminary result for semi-confirmatory structural equation modeling
R6 class to obtain preliminary result for semi-confirmatory structural equation modeling
Value
Object of prelslx
R6 class.
Methods
Public methods
Method new()
Usage
prelslx$new( model, data, numeric_variable, ordered_variable, weight_variable, auxiliary_variable, group_variable, reference_group, sample_cov, sample_mean, sample_size, sample_moment_acov, verbose = TRUE )
Method prefit()
Usage
prelslx$prefit( penalty_method = "mcp", lambda_grid = "default", delta_grid = "default", step_grid = "default", loss = "default", algorithm = "default", missing_method = "default", start_method = "default", lambda_direction = "default", lambda_length = 50L, delta_length = 3L, threshold_value = 0.3, subset = NULL, cv_fold = 1L, iter_out_max = 100L, iter_in_max = 50L, iter_other_max = 500L, iter_armijo_max = 100L, tol_out = 0.001, tol_in = 0.001, tol_other = 1e-07, step_size = 0.5, momentum = 0, armijo = 1e-05, ridge_cov = 0, ridge_hessian = 1e-04, ridge_weight = 1e-04, warm_start = TRUE, positive_variance = TRUE, minimum_variance = 1e-04, armijo_rule = TRUE, enforce_cd = TRUE, random_update = TRUE, weight_matrix = NULL, verbose = TRUE )
Method clone()
The objects of this class are cloneable with this method.
Usage
prelslx$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
[Package lslx version 0.6.11 Index]