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dirmult (version 0.1.1)

nullTest: Simulation based test for null-hypothesis, H0:theta=0

Description

Simulates data sets under the null-hypothesis, $H_0:\theta=0$. This corresponds to an ordinary multinomial model without any overdispersion. Based on the returned data frame simulated $p$-values may be computed.

Usage

nullTest(data, m=1000, prec=6)

Arguments

data
A matrix or table with counts. Rows represent subpopulations and columns the different categories of the data. Zero rows or columns are automaticly removed.
m
Number of simulated data tables.
prec
The tolerance of the iterations. Corresponds to epsilon=1e-prec in dirmult.

Value

  • Returns a data frame with theta estimates and log-likelihood values.

concept

  • Genetics
  • Overdispersion
  • Dirichlet-multinomial

See Also

dirmult

Examples

Run this code
data(us)
nullTest(us[[1]],m=50)

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