Description Usage Arguments Value Author(s) See Also Examples
Fit a stan model.
1 2 3 |
model |
A stan model of rstan:stanmodel class. |
method |
Method to estimate model parameters ("optimizing", or "sampling"). |
type |
Variable type of the response variable ("linear", "binary", "categorical"). |
cov |
A matrix of model covariates. |
geno |
A vector of variant genotype data (0, 1, 2). |
pheno |
A vector of response variable data. |
A list of model fit.
Xulong Wang, xwang@jax.org
rstan package
which this function wraps
1 2 3 4 5 6 7 8 9 | myGWAS_fit(mymodel, rebuild = F)
data("sample", package = "bayes.glmm")
pheno = data$pheno
geno = data$geno
cov = data$cov
L <- t(chol(data$K))
mymodel = stan_models(model = "glm")
y1 = myGWAS_fit(model = mymodel, method = "optimizing", type = "categorical", cov = cov, geno = geno[c(1, 3), ], pheno = pheno)
y2 = myGWAS_fit(model = mymodel, method = "sampling", type = "categorical", cov = cov, geno = geno[c(1, 3), ], pheno = pheno)
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