Description Usage Arguments Value Examples
View source: R/FastLORS_Functions.R
GetMaxRho
is a function used to determine the maximum value as a candidate for rho. See the parmeter tuning section of Yang et al. (2013)
Note: This function is adapted from the LORS MATLAB implementation
1 | GetMaxRho(X, Y, L, Omega0)
|
X |
matrix of SNPs |
Y |
gene expression matrix |
L |
matrix of hidden factors |
Omega0 |
Boolean matrix of observed entries |
MaxRho The maximum value of rho to be used in parameter tuning
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ##Example
## Generate some data
n <- 50
p <- 200
q <- 100
k <- 10
set.seed(123)
X <- matrix(rbinom(n*p,1,0.5),n,p)
L <- matrix(rnorm(n*k),n,k) %*% t(matrix(rnorm(q*k),q,k))
B <- matrix(0, ncol(X), ncol(L))
activeSNPs <- sort(sample(c(1:nrow(B)), 20))
for(i in 1:length(activeSNPs)){
genes_influenced <- sort(sample(c(1:ncol(B)),5))
B[activeSNPs[i], genes_influenced] <- 2
}
E <- matrix(rnorm(n*q),n,q)
Y <- X %*% B + L + E
Omega0 <- !(is.na(Y))
## Usage
GetMaxRho(X, Y, L, Omega0)
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