Simulation (reproducibility)

Function for reproducing 'internal' simulation study. See vignette.

Usage

simulate(
  p = 1000,
  n.target = 100,
  n.source = 150,
  k = 2,
  family = "gaussian",
  prop = 0.01,
  rho.beta = 0.95,
  rho.x = 0.95,
  w = 0.5,
  trans = rep(TRUE, times = k),
  exp = rep(1, times = k)
)

Arguments

p: number of features
n.target: sample size for target data set
n.source: sample size(s) for source data set(s), scalar or vector of length k
k: number of source data sets
family: "Gaussian", "binomial" or "poisson"
prop: approximate proportion of features with effects
rho.beta: correlation between effects (across different data sets)
rho.x: base for decreasing correlation structure for correlation between features
w: weight between signal and noise
trans: logical vector of length \(k\): transferable (TRUE) or non-transferable (FALSE) source
exp: non-negative vector of length \(k\) for transforming beta to sign(beta)*abs(beta)^exp

Usage

Arguments

See also