wisam: Weighted Genome Scan
In williamvaldar/wisam: Weighted Inbred Strain Association Mapping (wisam)

Performs a genome scan on heteroscedastic data.

1	wisam(G, y, strains, X, K, weights = "none", user_weights = NULL)

`G`	A s by p matrix of genotypes, where s is the number of strains and p is the number of snps to be tested. This matrix can have missing values, and each SNP should be coded as 0, 1, 0.5 or NA
`y`	A N length vector of phenotypes for each individual organism, where N is the total number of individuals
`strains`	A s by N incidence matrix that maps every individual to a strain
`X`	A s by q matrix of covariates (optional)
`K`	A s by s genomic relationship matrix. Will be calculated if unspecified.
`weights`	A string specifying the weights to be used. The following are permitted: "none", "samplevars", "limma", "counts", and "user"
`user_weights`	A s length vector of weights for each strain, used if weights = "user"

A list containing:

pvalue: A p length vector of p-values for every snp
ML0: A p length vector of log maximum likelihood under the null hypothesis
ML1: A p length vector of log maximum likelihood under the alternative hypothesis
beta: A p length vector of regression parameter estimate for slope under the alternative hypothesis
s2: A p length vector of the sum of variance components under the null hypothesis
h2: A p length vector of the heritability estimate under the null hypothesis