isotone: Performs Isotone regression using "pool-adjacent-violators"...
In DDHFm: Variance Stabilization by Data-Driven Haar-Fisz (for Microarrays)
isotone R Documentation
Performs Isotone regression using "pool-adjacent-violators" algorithm
Description
It is applied in order to estimate the h() function in the Data-Driven Haar-Fisz algorithm
Usage
isotone(x, wt = rep(1, length(x)), increasing = FALSE, Ccode=TRUE)
Arguments
x
the vector that will be fitted with the regression
wt
a vector of weights
increasing
if TRUE the curve is set to be increasing, else FALSE
Ccode
if TRUE then faster C code is used rather than R
Value
isotone
the regression results
Author(s)
Bernard Silverman, with C modifications by GPN
References
Johnstone, I.M. and Silverman, B.W. (2005), EbayesThresh: R and S-Plus programs for empirical Bayes
thresholding, Journal of Statistical Software, to appear
DDHFm documentation built on Oct. 4, 2024, 5:11 p.m.
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| isotone | R Documentation |
Performs Isotone regression using "pool-adjacent-violators" algorithm
Description
It is applied in order to estimate the h() function in the Data-Driven Haar-Fisz algorithm
Usage
isotone(x, wt = rep(1, length(x)), increasing = FALSE, Ccode=TRUE)
Arguments
x |
the vector that will be fitted with the regression |
wt |
a vector of weights |
increasing |
if TRUE the curve is set to be increasing, else FALSE |
Ccode |
if TRUE then faster C code is used rather than R |
Value
isotone |
the regression results |
Author(s)
Bernard Silverman, with C modifications by GPN
References
Johnstone, I.M. and Silverman, B.W. (2005), EbayesThresh: R and S-Plus programs for empirical Bayes thresholding, Journal of Statistical Software, to appear
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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