Main function

zinb_w_cov(Y_mat, X_mat, z_vec, s_vec, tau_mukj = 1, S = 20000L,
  burn_rate = 0.5, tau_mu0 = 1, tau_phi = 1, tau_beta = 1,
  a_omega = 1, b_omega = 1, a_pi = 1, b_pi = 1, a_p = 1,
  b_p = 1, a_mu = 2, b_mu = 10, a_phi = 1, b_phi = 0.01,
  a_beta = 2, b_beta = 10, mu0_mean = 5, beta_lim = 5)

Arguments

Y_mat,

abundance matrix

X_mat,

covariate matrix

z_vec,

group vector

s_vec,

scaling factor

tau_mukj

default = 1,

S

default = 20000,

burn_rate

default = 0.5,

tau_mu0

= 1,

tau_phi

= 1,

tau_beta

= 1,

a_omega

default = 0.2, uniform prior

b_omega

defeault = 1.8, uniform prior

a_pi

default = 1, control the sparsity of R matrix

b_pi

default = 0.1, control the sparsity of R matrix

a_p

default = 0.4, control the sparsity of Delta matrix

b_p

default = 1.6, control the sparsity of Delta matrix

a_mu

default = 2, spike and slab for mu_kj

b_mu

default = 15, spike and slab for mu_kj

a_phi

default = 10, dispersion parameter

b_phi

default = 1, dispersion parameter

a_beta

default = 2, spike and slab for beta_rj

b_beta

default = 15, spike and slab for beta_rj

mu0_mean,

mean

beta_lim

= 5, limit of beta