sum_of_squares: Loss Function for Optimization Process on Alpha

In itamarfaran/corrpops: Analysis of populations of correlation matrices

Description

Loss Function for Optimization Process on Alpha

Usage

sum_of_squares(
  alpha,
  theta,
  diagnosed_datamatrix,
  inv_sigma,
  LinkFunc,
  sigma,
  dim_alpha = 1,
  reg_lambda = 0,
  reg_p = 2
)

Arguments

alpha	estimate of alpha
theta	estimate of theta
diagnosed_datamatrix	data matrix of diagnosed subjects
inv_sigma	covariance matrix of correlation data matrix, inverted
LinkFunc	LinkFuncSkeleton
sigma	if inv_sigma is missing, invert this matrix and use it as inv_sigma
dim_alpha	dimension of alpha
reg_lambda	see model_reg in configurations
reg_p	see model_reg in configurations

Value

value of sum of squares

itamarfaran/corrpops documentation built on Dec. 20, 2021, 8:02 p.m.