scan1var: Mean-Variance genome scan with a single-QTL model
In rcorty/vqtl2: Mean-Variance QTL Mapping

Description Usage Arguments Value

Mean-Variance genome scan with a single-QTL model

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

`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