| Name : R-SpiceFP
| |
| Version : 0.1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.4
| Date : 2024-06-14 11:57:39
|
| Group : Development/Libraries/Other
| Source RPM : R-SpiceFP-0.1.2-lp153.2.4.src.rpm
|
| Size : 0.82 MB
| |
| Packager : (none)
| |
| Summary : Sparse Method to Identify Joint Effects of Functional Predictors
|
Description :
A set of functions allowing to implement the \'SpiceFP\' approach which
is iterative. It involves transformation of functional predictors into
several candidate explanatory matrices (based on contingency tables),
to which relative edge matrices with contiguity constraints are
associated. Generalized Fused Lasso regression are performed in order
to identify the best candidate matrix, the best class intervals and
related coefficients at each iteration. The approach is stopped when
the maximal number of iterations is reached or when retained
coefficients are zeros. Supplementary functions allow to get
coefficients of any candidate matrix or mean of coefficients of many
candidates. The methods in this package are describing in Girault
Gnanguenon Guesse, Patrice Loisel, Bénedicte Fontez, Thierry Simonneau,
Nadine Hilgert (2021) \"An exploratory penalized regression to identify
combined effects of functional variables -Application to
agri-environmental issues\"
< https://hal.archives-ouvertes.fr/hal-03298977>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
