Mean-Variance genome scan with a single-QTL model

Mean-Variance genome scan with a single-QTL model

scan1var(pheno_name, mean_covar_names = "1", var_covar_names = "1",
  alleleprobs, non_genetic_data, model = c("normal", "binary"),
  num_cores = 1, ...)

Arguments

pheno_name

name of the phenotype to scan
mean_covar_names

names of the mean covariates
var_covar_names

names of the variance covariates
alleleprobs

Genotype probabilities as calculated by [qtl::calc_genoprob()].
non_genetic_data

phenotype and covararite data.frame
model

Indicates whether to use a normal model (least squares) or binary model (logistic regression) for the phenotype. If `model='binary'`, the phenotypes must have values in \([0, 1]\). individuals. As with the other inputs, it must have `names` for individual identifiers.
num_cores

Number of CPU cores to use, for parallel calculations. (If `0`, use [parallel::detectCores() - 1].)
...

additional optional arguments

Value

results of the scan