ASBT {AllelicSeries} | R Documentation |
Allelic Series Burden Test
Description
Burden test with allelic series weights.
Usage
ASBT(
anno,
geno,
pheno,
apply_int = TRUE,
covar = NULL,
indicator = FALSE,
is_pheno_binary = FALSE,
method = "none",
score_test = FALSE,
weights = DEFAULT_WEIGHTS
)
Arguments
anno |
(snps x 1) annotation vector with values in c(0, 1, 2). |
geno |
(n x snps) genotype matrix. |
pheno |
(n x 1) phenotype vector. |
apply_int |
Apply rank-based inverse normal transform to the phenotype? Default: TRUE. Ignored if phenotype is binary. |
covar |
(n x p) covariate matrix. Defaults to an (n x 1) intercept. |
indicator |
Convert raw counts to indicators? |
is_pheno_binary |
Is the phenotype binary? Default: FALSE. |
method |
Method for aggregating across categories: "none", "max", "sum". Default: "none". |
score_test |
Run a score test? If FALSE, performs a Wald test. |
weights |
(3 x 1) annotation category weights. |
Value
Numeric p-value.
Examples
# Generate data.
data <- DGP(n = 1e3, snps = 1e2)
# Run the Allelic Series Burden Test.
# Note: the output is a scalar p-value.
results <- ASBT(
anno = data$anno,
geno = data$geno,
pheno = data$pheno,
covar = data$covar
)
[Package AllelicSeries version 0.0.4.1 Index]