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

In RobMixReg: Robust Mixture Regression

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, nit = 1, nc = 2, 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.
nit	Number of iterations for CTLE, mixbi, mixLp.
nc	Number of mixture components.
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.

RobMixReg documentation built on Aug. 5, 2020, 5:08 p.m.