MLM | R Documentation |
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,
nc = 2,
nit = 1,
x = NULL,
y = NULL,
max_iter = 50,
tRatio = 0.05
)
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. |
Main result object.
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