Robust Mixture Regression

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Documentation for package ‘RobMixReg’ version 1.1.3

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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