Displaying 6 results from an estimated 6 matches for "chemolab".
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chemlab
2017 Aug 12
0
OHPL - new package for group variable selection
Dear useRs,
- I am pleased to announce that the R package OHPL is now available on
CRAN (https://CRAN.R-project.org/package=OHPL).
The package implements the ordered homogeneity pursuit lasso (OHPL)
algorithm for group variable selection proposed in Lin et al. (2017)
<doi:10.1016/j.chemolab.2017.07.004>. The OHPL method exploits the
homogeneity structure in high-dimensional data and enjoys the grouping
effect to select groups of important variables automatically. This
feature makes it particularly useful for high-dimensional datasets with
strongly correlated variables, such as spec...
2008 Jul 10
0
ppls: version 1.02 including a new data set
...ed Partial Least Squares - is now
available on CRAN.
It implements the methods described in
N. Kr?mer, A.-L. Boulesteix, G. Tutz
"Penalized Partial Least Squares with Applications to B-Spline
Transformations and Functional Data"
Chem. Intell. Lab. Sys. 2008
http://dx.doi.org/10.1016/j.chemolab.2008.06.009
Features of the package include
* the estimation of functional data with penalized PLS,
* the estimation of generalized additive models with penalized PLS based
on spline transformations,
* model selection for both methods based on cross validation.
The most important changes since...
2008 Jul 10
0
ppls: version 1.02 including a new data set
...ed Partial Least Squares - is now
available on CRAN.
It implements the methods described in
N. Kr?mer, A.-L. Boulesteix, G. Tutz
"Penalized Partial Least Squares with Applications to B-Spline
Transformations and Functional Data"
Chem. Intell. Lab. Sys. 2008
http://dx.doi.org/10.1016/j.chemolab.2008.06.009
Features of the package include
* the estimation of functional data with penalized PLS,
* the estimation of generalized additive models with penalized PLS based
on spline transformations,
* model selection for both methods based on cross validation.
The most important changes since...
2017 Aug 12
0
OHPL - new package for group variable selection
Dear useRs,
- I am pleased to announce that the R package OHPL is now available on
CRAN (https://CRAN.R-project.org/package=OHPL).
The package implements the ordered homogeneity pursuit lasso (OHPL)
algorithm for group variable selection proposed in Lin et al. (2017)
<doi:10.1016/j.chemolab.2017.07.004>. The OHPL method exploits the
homogeneity structure in high-dimensional data and enjoys the grouping
effect to select groups of important variables automatically. This
feature makes it particularly useful for high-dimensional datasets with
strongly correlated variables, such as spec...
2017 Aug 16
0
Statistical / data mining methods in R and not in SAS?
> On Aug 14, 2017, at 12:22 PM, fs <mail at friedrich-schuster.de> wrote:
>
> Hi, and sorry for asking such an unspecific question.
>
> Does anybody know of statistical / data mining methods that are available in R
> that are not in SAS ? With SAS I mean the SAS System Version 9.4 and SAS
> Enterprise Miner. I don't expect a complete list, just two or three
2017 Aug 14
1
Statistical / data mining methods in R and not in SAS?
Hi, and sorry for asking such an unspecific question.
Does anybody know of statistical / data mining methods that are available in R
that are not in SAS ? With SAS I mean the SAS System Version 9.4 and SAS
Enterprise Miner. I don't expect a complete list, just two or three examples
or hints where and what to look for.
I found some older comparisons, and the R methods mentioned there