SetupGeneMix: Base class for gene model Y \sim N(X_k\beta + X \gamma,...

In JonasWallin/PolyMixed:

Base class for gene model Y \sim N(X_k\beta + X \gamma, \sigma_Y^2 I_n \times n) \gamma \sim N(u, \tau^2 I_p \times p) u = [u_1,...,u_n_c] u_i \sim N(\mu_0, \sigma^2_u 1 SetupGeneMix( formula, data, X, tauOff = FALSE, sigmaMuOff = TRUE, meanMuOff = FALSE, nc = NULL, SVDX = NULL, testTau = FALSE, nPC = 0 ) \itemformula- (formula) the covariates formula \itemdata- (data.frame) for covariates (X_k) these should not include X \itemX- (n x p) the gene covariates \itemtauOff- (bool) fix \tau = 0, \itemsigmaMuOff- (bool) \sigma_u = 0, if sigmaMuOff=FALSE needs to include nc \itemmeanMuOff- (bool) \mu_0,= 0, \itemnc- (int) number of chromosones, if null simpler model \itemSVDX- (obj) singular value decomposition object of X \itemtestTau- (bool) should we try to turn off tau? \itemnPC- (int) how many PC to use in fixed effect Base class for gene model Y \sim N(X_k\beta + X \gamma, \sigma_Y^2 I_n \times n) \gamma \sim N(u, \tau^2 I_p \times p) u = [u_1,...,u_n_c] u_i \sim N(\mu_0, \sigma^2_u 1

JonasWallin/PolyMixed documentation built on April 8, 2023, 4:26 p.m.