MLM: The main function of mining the latent relationship among...

View source: R/outer2.R

MLMR Documentation

The main function of mining the latent relationship among variables.

Description

The main function of mining the latent relationship among variables.

Usage

MLM(
  ml.method = "rlr",
  rmr.method = "cat",
  b.formulaList = list(formula(y ~ x), formula(y ~ 1)),
  formula = y ~ x,
  nc = 2,
  nit = 1,
  x = NULL,
  y = NULL,
  max_iter = 50,
  tRatio = 0.05
)

Arguments

ml.method

The option to select the four methods in vignette.

rmr.method

The option to select the robust mixture regression method.

b.formulaList

The case b require the user provide the formula list. This enable the flexible mixture regression.

formula

The linear relationship between two variables.

nc

Number of mixture components.

nit

Number of iterations for CTLE, mixbi, mixLp.

x

The matrix x of the high dimension situation.

y

The external outcome variable.

max_iter

Maximum iteration for TLE method.

tRatio

The ratio of the outliers in the TLE robust mixture regression method.

Value

Main result object.


changwn/RMR documentation built on March 29, 2025, 3:15 p.m.