def_tol: Define maximum number of iteration and convergence

In USCbiostats/LUCid: Latent Unknown Clustering with Integrated Data

Description

Defines tolerance settings in est_lucid, sem_lucid , & tune_lucid fitting.

Usage

def_tol(
  MAX_ITR = 100,
  MAX_TOT_ITR = 10000,
  reltol = 1e-08,
  tol_b = 1e-04,
  tol_m = 1e-04,
  tol_s = 1e-04,
  tol_g = 1e-04,
  tol_p = 1e-04,
  tol_sem = 0.001
)

Arguments

MAX_ITR	Maximum number of iterations, integer, default is 100
MAX_TOT_ITR	Maximum number of total iterations, integer, default is 10000
reltol	Convergence cut-off using a relative tolerance, default is 1e-8
tol_b	Convergence criteria of β, genetic effects parameter, default is 1e-4
tol_m	Convergence criteria of μ, biomarker mean effects parameters, default is 1e-4
tol_s	Convergence criteria of Σ, biomarker covariance matrix, default is 1e-4
tol_g	Convergence criteria of γ, outcome effects parameter, default is 1e-4
tol_p	Convergence criteria of the probability of latent clusters, default is 1e-4
tol_sem	Convergence criteria of SEM, default is 1e-3

Value

A list of tolerance settings will be returned for integrative clustering.

Author(s)

Cheng Peng, Zhao Yang, David V. Conti

USCbiostats/LUCid documentation built on Feb. 22, 2020, 8:57 p.m.