R: Approximation of the Shapley Values Based on Experimental Designs

# Approximation of the Shapley Values Based on Experimental Designs

## Documentation for package ‘ShapDoE’ version 1.0.0

- DESCRIPTION file

## Help Pages

est.sh | The main algorithm for estimating the Shapley value
est.shcoa | Estimating the Shapley value based on component orthogonal array (COA) with a prime power d
est.shcoa.prime | Estimating the Shapley value based on component orthogonal array (COA) with a prime d
est.shls | Estimating the Shapley value based on Latin square (LS)
est.shsrs | Estimating the Shapley value based on simple random sampling (SRS)
est.shstrrs | Estimating the Shapley value based on structured simple random sampling (StrRS)
gfpoly.add | Polynomial additive defined on GF(s) with a prime s
gfpoly.div | Polynomial division defined on GF(s) with a prime s
gfpoly.multi | Polynomial mutiplication defined on GF(s) with a prime s
is.prime | Determine whether an integer is a prime
onecoa | Generate a component orthogonal array (COA) with a prime power d
onecoa.prime | Generate a component orthogonal array (COA) with a prime d
onels | Generate an Latin square (LS)
poly.div | Polynomial division
structed.perm | Generate the structured samples of simple random samples