gettvaluesCond2: Caculates the t-values for X_i in : Y \sim N(X_i \beta_i + X...

In JonasWallin/PolyMixed:

Caculates the t-values for X_i in : Y \sim N(X_i \beta_i + 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 gettvaluesCond2( index, Y, X, model = c("simple", "constant"), betas = NULL, nc = NULL, theta = NULL, X_rem = NULL, SVDX = NULL ) \itemindex- (p_1 x 1) vector of position where to calc t-values \itemY- (n x 1) observations \itemX- (n x p) covariates \itemmodel- (string) simple - simpliefed model (sigma^2_u = 0) constant - the full model \itemnc- (int) number of chromosones \itemtheta- (k x 1) parameters of the model if NULL estimated from data \itemXSVD- (list) singular value decomposition of X t - (p x 1) vector of the t-values Caculates the t-values for X_i in : Y \sim N(X_i \beta_i + 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.