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)
Y_mat, | abundance matrix |
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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 |