| biscalew | biscalew :Robust M-estimates for scale. |
| bisquare | bisquare : Robust estimates for mean. |
| blockMap | Plot the coefficient matrix. |
| CCLE_data | RobMixReg package built-in CCLE data. |
| colon_data | RobMixReg package built-in Colon cancer data. |
| compPlot | The plot wrapper function. |
| Compute_Rbase_SVD | Compute the row space using SVD. |
| 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. |
| CTLE-method | TLE: robust mixture regression based on trimmed likelihood estimation. |
| CTLE-method | mixLp : mixLp_one estimates the mixture regression parameters robustly using Laplace distribution based on multiply initial value.. |
| CTLERob | CTLERob: Robust mixture regression based on component-wise adaptive trimming likelihood estimation. |
| CTLERob,formula,ANY,numeric,ANY | plot_CTLE: Plot the mixture/single regression line(s) in a simply function. |
| CTLERob-method | CTLERob: Robust mixture regression based on component-wise adaptive trimming likelihood estimation. |
| denLp | denLp : Density function for Laplace distribution. |
| DeOut | DeOut : Detect outlier observations. |
| 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. |
| mixlinrb_bi | mixlinrb_bi: mixlinrb_bione estimates the mixture regression parameters robustly using bisquare function based on multiply initial value. |
| mixlinrb_bi-method | 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. |
| mixLp | mixLp : mixLp_one estimates the mixture regression parameters robustly using Laplace distribution based on multiply initial value.. |
| mixLp-method | 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. |
| mixtureReg | Function to Fit Mixture of Regressions |
| 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. |
| 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_CTLE-method | 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 |
| Rec_Lm | Adaptive lasso. |
| rmr | The main function of Robust Mixture Regression using five methods. |
| RobMixReg-class | Class RobMixReg. |
| 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. |
| TLE | TLE: robust mixture regression based on trimmed likelihood estimation. |
| TLE-method | TLE: robust mixture regression based on trimmed likelihood estimation. |