compute_ss: Compute sufficient statistics for susie.
In simingz/ctwas: Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits
View source: R/susie_compute_ss.R
compute_ss R Documentation
Compute sufficient statistics for susie.
Description
Compute sufficient statistics for susie.
Usage
compute_ss(X, y, standardize = TRUE)
Arguments
X
An n by p matrix of covariates.
y
An n vector.
standardize
Logical flag indicating whether to standardize
columns of X to unit variance prior to fitting.
Value
A list of sufficient statistics.
Examples
data(N2finemapping)
ss = compute_ss(N2finemapping$X, N2finemapping$Y[,1])
simingz/ctwas documentation built on Sept. 17, 2024, 10:55 p.m.
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View source: R/susie_compute_ss.R
| compute_ss | R Documentation |
Compute sufficient statistics for susie.
Description
Compute sufficient statistics for susie.
Usage
compute_ss(X, y, standardize = TRUE)
Arguments
X |
An n by p matrix of covariates. |
y |
An n vector. |
standardize |
Logical flag indicating whether to standardize columns of X to unit variance prior to fitting. |
Value
A list of sufficient statistics.
Examples
data(N2finemapping)
ss = compute_ss(N2finemapping$X, N2finemapping$Y[,1])
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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