Skip to content
/ OASA Public

Orthogonal Array Search Algorithm for simultaneously estimating main effects and two-factor interactions

1 star 0 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

PingYangChen/OASA

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
ConvertHadamard.m
ConvertHadamard.m
 
 
D1_MIX_AB.m
D1_MIX_AB.m
 
 
D1_MIX_Rand.m
D1_MIX_Rand.m
 
 
D1_SIBSSD.m
D1_SIBSSD.m
 
 
D2D3_MIX_AB.m
D2D3_MIX_AB.m
 
 
D2D3_MIX_Rand.m
D2D3_MIX_Rand.m
 
 
D2D3_SCREEN.m
D2D3_SCREEN.m
 
 
D2D3_SIBSSD.m
D2D3_SIBSSD.m
 
 
H20-N.csv
H20-N.csv
 
 
H20-P.csv
H20-P.csv
 
 
H20-Q.csv
H20-Q.csv
 
 
H20-Tang2009.csv
H20-Tang2009.csv
 
 
OASA.m
OASA.m
 
 
README.md
README.md
 
 
TwoFIstruct.m
TwoFIstruct.m
 
 
getAlgInfo.m
getAlgInfo.m
 
 
getBound.m
getBound.m
 
 
getDesignInfo.m
getDesignInfo.m
 
 
run.m
run.m
 
 

Repository files navigation

Orthogonal Array Search Algorithm

The orthogonal array search algorithm (OASA) is used for searching the D-optimal orthogonal arrays for jointly estimating main effects and two-factor interactions. Our MATLAB codes for OASA are shown here. To use our codes, please see run.m

About

Orthogonal Array Search Algorithm for simultaneously estimating main effects and two-factor interactions

Topics

experimental-design

Resources

Readme
Activity

Stars

1 star

Watchers

2 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages