summary.iClusterVB: Generic summary method for 'iClusterVB' objects

In iClusterVB: Fast Integrative Clustering and Feature Selection for High Dimensional Data

Generic summary method for 'iClusterVB' objects

Description

Generic summary method for 'iClusterVB' objects

Usage

## S3 method for class 'iClusterVB'
summary(object, rho = 0.5, ...)

Arguments

object	A fitted iClusterVB object.
rho	The minimum posterior inclusion probability of interest to count the number of features that are >= rho. Default is 0.5. Only works for VS_method = 1.
...	Potential further arguments

Value

Returns a summary list for an 'agnes' object.

Examples

# Setting up the data
dat1 <- list(
  gauss_1 = sim_data$continuous1_data[c(1:20, 61:80, 121:140, 181:200), 1:75],
  gauss_2 = sim_data$continuous2_data[c(1:20, 61:80, 121:140, 181:200), 1:75],
  poisson_1 = sim_data$count_data[c(1:20, 61:80, 121:140, 181:200), 1:75])

dist <- c(
  "gaussian", "gaussian",
  "poisson")

fit_iClusterVB <- iClusterVB(
  mydata = dat1,
  dist = dist,
  K = 4,
  initial_method = "VarSelLCM",
  VS_method = 1,
  max_iter = 25
)

## S3 method for class 'iClusterVB'
summary(fit_iClusterVB, rho = 0.75)

iClusterVB documentation built on April 3, 2025, 6:22 p.m.