flexmix_2: flexmix_2: Multiple runs of MLE based mixture regression to...
In RobMixReg: Robust Mixture Regression
Description
Usage
Arguments
Value
View source: R/CTLE.short.rob.R
Description
Mixture regression based on MLE could be unstable when assuming unequal variance. Multiple runs of flexmix is performed to stabilize the results.
Usage
1
Arguments
formula
A symbolic description of the model to be fit.
data1
A data frame containing the predictor and response variables, where the last column is the response varible.
k
Number of mixture components.
mprior
A numeric number in (0,1) that specifies the minimum proportion of samples in each mixing components.
Value
A S4 object of flexmix class. xxx
RobMixReg documentation built on Aug. 5, 2020, 5:08 p.m.
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Description Usage Arguments Value
View source: R/CTLE.short.rob.R
Description
Mixture regression based on MLE could be unstable when assuming unequal variance. Multiple runs of flexmix is performed to stabilize the results.
Usage
1 |
Arguments
formula |
A symbolic description of the model to be fit. |
data1 |
A data frame containing the predictor and response variables, where the last column is the response varible. |
k |
Number of mixture components. |
mprior |
A numeric number in (0,1) that specifies the minimum proportion of samples in each mixing components. |
Value
A S4 object of flexmix class. xxx
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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