R: Robust Mixture Regression

# Robust Mixture Regression

## Documentation for package ‘RobMixReg’ version 1.1.3

- DESCRIPTION file.
- Package NEWS.

## Help Pages

biscalew | biscalew :Robust M-estimates for scale.
bisquare | bisquare : Robust estimates for mean.
blockMap | Plot the coefficient matrix.
calcobj_i | calcobj_i: it calculates the objective function
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.
dmnorm | dmnorm: multivariate normal density function
estimClustPar_i | estimClustPar_i: see original CWM method
findClustAssig_i | findClustAssig_i: it obtains the assigment corresponding to each point to the K populations and the set of trimmed points
flexmix_2 | flexmix_2: Multiple runs of MLE based mixture regression to stabilize the output.
gaussData | RobMixReg package built-in gaussian example data.
getini | getini: see original CWM method
InitClusters_i | InitClusters_i: see original CWM method
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.
restr.diffax_i1 | restr.diffax_i1: see original CWM method
restr.diffax_i2 | restr.diffax_i2: see original CWM method
restr2_eigenv | restr2_eigenv: see original CWM method
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.
ssclmat | ssclmat: see original CWM method
TLE | TLE: robust mixture regression based on trimmed likelihood estimation.
TLE-method | TLE: robust mixture regression based on trimmed likelihood estimation.
TreatSingularity | TreatSingularity: see original CWM method
trim.cwm | trim.cwm: main function