init_pam: Initialisation of the co-clusters by partitioning around...

In cobiclust: Biclustering via Latent Block Model Adapted to Overdispersed Count Data

Initialisation of the co-clusters by partitioning around medoids method.

Description

Initialisation of the co-clusters by partitioning around medoids method.

Usage

init_pam(x, nu_j = NULL, a = NULL, K = K, G = G, akg = FALSE)

Arguments

x	The output of the cobiclust function.
nu_j	a vector of numeric, corresponding of a column effect, may be interpreted as a sampling effort. The length is equal to the number of columns.
a	an numeric.
K	an integer specifying the number of groups in rows.
G	an integer specifying the number of groups in columns.
akg	a logical variable indicating whether to use a common dispersion parameter (akg = FALSE) or a dispersion parameter per cocluster (akg = TRUE).

Value

A list of

nu_j

nu_j.

mu_i

mu_i.

t_jg

t_jg.

s_ik

s_ik.

pi_c

pi.

rho_c

rho.

a

a.

exp_utilde

exp_utilde.

exp_logutilde

exp_logutilde.

alpha_c

alpha.

cobiclust documentation built on May 29, 2024, 6:23 a.m.