Function reference • RobMixReg

All functions
`CCLE_data`	RobMixReg package built-in CCLE data.
`CSMR()`	The main function of the RBSL algorithm.
`CSMR_one()`	Perform the RBSL algorithm one times.
`CSMR_predict()`	The predict function of the CSMR algorithm.
`CSMR_train()`	The train function of the CSMR algorithm.
`CTLERob()`	CTLERob: Robust mixture regression based on component-wise adaptive trimming likelihood estimation.
`Compute_Rbase_SVD()`	Compute the row space using SVD.
`DeOut()`	DeOut : Detect outlier observations.
`MLM()`	The main function of mining the latent relationship among variables.
`MLM_bic()`	Model selection function for low dimension data.
`MLM_cv()`	Cross validation (fold-5) function for high dimension data.
`Rec_Lm()`	Adaptive lasso.
`RobMixReg-class`	Class RobMixReg.
`TLE()`	TLE: robust mixture regression based on trimmed likelihood estimation.
`biscalew()`	biscalew :Robust M-estimates for scale.
`bisquare()`	bisquare : Robust estimates for mean.
`blockMap()`	Plot the coefficient matrix.
`colon_data`	RobMixReg package built-in Colon cancer data.
`compPlot()`	The plot wrapper function.
`denLp()`	denLp : Density function for Laplace distribution.
`flexmix_2()`	flexmix_2: Multiple runs of MLE based mixture regression to stabilize the output.
`gaussData`	RobMixReg package built-in gaussian example data.
`lars.lsa()`	lars variant for LSA.
`logLik_mixtureReg()`	Obtain Log-likelihood from a mixtureReg Object
`lsa()`	Least square approximation. This version Oct 19, 2006.
`mixLp()`	mixLp : mixLp_one estimates the mixture regression parameters robustly using Laplace distribution based on multiply initial value..
`mixLp_one()`	mixLp_one : mixLp_one estimates the mixture regression parameters robustly using Laplace distribution based on one initial value.
`mixlinrb_bi()`	mixlinrb_bi: mixlinrb_bione estimates the mixture regression parameters robustly using bisquare function based on multiply initial value.
`mixlinrb_bione()`	mixlinrb_bione : mixlinrb_bione estimates the mixture regression parameters robustly using bisquare function based on one initial value.
`mixtureReg()`	Function to Fit Mixture of Regressions
`orderedLines()`	Sort by X Coordinates and Add Line to a Plot
`plot_CTLE()`	plot_CTLE: Plot the mixture/single regression line(s) in a simply function.
`plot_mixtureReg()`	Plot Fit and Mixing Probability of a mixtureReg Object
`plot_mixtureRegList()`	Plot a List of mixtureReg Objects
`rmr()`	The main function of Robust Mixture Regression using five methods.
`simuData`	RobMixReg package built-in simulated example data.
`simu_data_sparse()`	Simulate high dimension data for RBSL algorithm validation.
`simu_func()`	The simulation function for low/high dimensional space.
`simu_low()`	The simulation function for low dimensional space.

Reference

All functions