bootstrap {mnem} | R Documentation

## Bootstrap.

### Description

Run bootstrap simulations on the components (phi) of an object of class mnem.

### Usage

    bootstrap(x, size = 1000, p = 1, logtype = 2, complete = FALSE, ...)

### Arguments

`x` | mnem object
`size` | size of the booststrap simulations
`p` | percentage of samples (e.g. for 100 E-genes p=0.5 means sampling 50)
`logtype` | logarithm type of the data (e.g. 2 for log2 data or exp(1) for natural)
`complete` | if TRUE, complete data log likelihood is considered (for very large data sets, e.g. 1000 cells and 1000 E-genes)
`...` | additional parameters for the nem function

### Value

returns bootstrap support for each edge in each component (phi); list of adjacency matrices

### Author(s)

Martin Pirkl

### Examples

    sim <- simData(Sgenes = 3, Egenes = 2, Nems = 2, mw = c(0.4,0.6))
    data <- (sim$data - 0.5)/0.5
    data <- data + rnorm(length(data), 0, 1)
    result <- mnem(data, k = 2, starts = 1)
    boot <- bootstrap(result, size = 2)

[Package mnem version 1.8.0 Index]