| Name : R-crisp
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:05:56
|
| Group : Development/Libraries/Other
| Source RPM : R-crisp-1.0.0-lp153.2.13.src.rpm
|
| Size : 0.10 MB
| |
| Packager : (none)
| |
| Summary : Fits a Model that Partitions the Covariate Space into Blocks in a Data- Adaptive Way
|
Description :
Implements convex regression with interpretable sharp partitions
(CRISP), which considers the problem of predicting an outcome variable
on the basis of two covariates, using an interpretable yet non-additive
model. CRISP partitions the covariate space into blocks in a
data-adaptive way, and fits a mean model within each block. Unlike
other partitioning methods, CRISP is fit using a non-greedy approach by
solving a convex optimization problem, resulting in low-variance fits.
More details are provided in Petersen, A., Simon, N., and Witten, D.
(2016). Convex Regression with Interpretable Sharp Partitions. Journal
of Machine Learning Research, 17(94): 1-31
< http://jmlr.org/papers/volume17/15-344/15-344.pdf>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
