plot.HDcvlars
(Package: HDPenReg) :
plot cross validation mean square error
plot cross validation mean square error
● Data Source:
CranContrib
● Keywords:
● Alias: plot.HDcvlars
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1 images
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listToMatrix
(Package: HDPenReg) :
List to sparse matrix conversion
create a matrix with all estimated coefficients from the output of HDlars or EMlasso functions.
● Data Source:
CranContrib
● Keywords:
● Alias: listToMatrix
●
0 images
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plot-methods
(Package: HDPenReg) :
plot methods for LarsPath object
plot the path of the lars algorithm.
● Data Source:
CranContrib
● Keywords:
● Alias: plot,LarsPath-method, plot-methods
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simul
(Package: HDPenReg) :
Simulate copy number data for a case-control study.
Simulate copy number data for a case-control study.
● Data Source:
CranContrib
● Keywords:
● Alias: simul
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coeff
(Package: HDPenReg) :
get coefficients at a given step.
Get the vector of coefficients at a given step
● Data Source:
CranContrib
● Keywords:
● Alias: coeff
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Compute coefficients at a given level of penalty
● Data Source:
CranContrib
● Keywords:
● Alias: coef.LarsPath
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EMcvlasso
(Package: HDPenReg) :
cross validation for code{link{EMlasso
cross validation function for EMlasso.
● Data Source:
CranContrib
● Keywords:
● Alias: EMcvlasso
●
0 images
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HDlars
(Package: HDPenReg) :
Lars algorithm
It performs the lars algorithm for solving lasso problem. It is a linear regression problem with a l1-penalty on the estimated coefficient.
● Data Source:
CranContrib
● Keywords:
● Alias: HDlars
●
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EMcvfusedlasso
(Package: HDPenReg) :
cross validation for EM fused-lasso
cross validation function for EMfusedlasso.
● Data Source:
CranContrib
● Keywords:
● Alias: EMcvfusedlasso
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0 images
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Predict response of a new sample Xnew at a given level of penalty
● Data Source:
CranContrib
● Keywords:
● Alias: predict.LarsPath
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providing 
.