| Name : R-MOFAT
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.7
| Date : 2024-06-14 11:25:00
|
| Group : Development/Libraries/Other
| Source RPM : R-MOFAT-1.0-lp153.1.7.src.rpm
|
| Size : 0.02 MB
| |
| Packager : (none)
| |
| Summary : Maximum One-Factor-at-a-Time Designs
|
Description :
Identifying important factors from a large number of potentially
important factors of a highly nonlinear and computationally expensive
black box model is a difficult problem. Xiao, Joseph, and Ray (2022)
< doi:10.1080/00401706.2022.2141897> proposed Maximum
One-Factor-at-a-Time (MOFAT) designs for doing this. A MOFAT design can
be viewed as an improvement to the random one-factor-at-a-time (OFAT)
design proposed by Morris (1991) < doi:10.1080/00401706.1991.10484804>.
The improvement is achieved by exploiting the connection between Morris
screening designs and Monte Carlo-based Sobol\' designs, and optimizing
the design using a space-filling criterion. This work is supported by a
U.S. National Science Foundation (NSF) grant CMMI-1921646
< https://www.nsf.gov/awardsearch/showAward?AWD_ID=1921646>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
