- maf
- The minor allele frequency of the imputed SNP
- r.squared
- The squared Pearson correlation coefficient between observed and predicted SNP duration derivation of the rule.
- snps
- The names of the SNPs to be included in the regression.
- hap.probs
- A numerical array containing estimated probabilities for haplotypes of the SNP to be imputed and all the predictor SNPs

`NULL`

. An object of class `ImputationRules`

has an attribute, `Max.predictors`

, which gives the maximum
number of predictors used for any imputation.- show
`signature(object = "ImputationRules")`

: prints an abreviated listing of the rules- summary
`signature(object = "ImputationRules")`

: returns a table which shows the distribution of r-squared values achieved against the number of snps used for imputation- plot
`signature(x="ImputationRules", y="missing")`

: plots the distribution of r-squared values as a stacked bar chart- []
`signature(x = "ImputationRules", i = "ANY")`

: subset operations

`snp.imputation`

, `impute.snps`

,
`single.snp.tests`