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. |