The main function of mining the latent relationship among variables.

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.