Description Usage Arguments Value References Examples

# Modified signed-likelihood ratio test (SLRT) for equality of CVs, using summary statistics when raw measurement data are not available.

1 | ```
mslr_test2(nr, n, x, s, seed)
``` |

`nr` |
numeric vector lenght one, number of simulation runs |

`n` |
a numeric vector, the number of observations in each group |

`x` |
a numeric vector, the mean of each group |

`s` |
a numeric vector, the standard deviation of each group |

`seed` |
optional, an integer that is the starting point used in the generation of a sequence of random numbers. Include a seed if you want reproducible output. |

a list with the test statistic and p-value

http://link.springer.com/article/10.1007/s00180-013-0445-2

1 2 3 4 5 6 7 8 9 10 | ```
# Summary stats from Feltz and Miller 1996
miller <- data.frame(test = c('ELISA', 'WEHI', '`Viral inhibition`'),
Mean = c(6.8, 8.5, 6.0),
CV = c(0.090, 0.462, 0.340),
N = c(5, 5, 5))
# compute SD from mean and cv
miller$SD <- with(miller, CV * Mean)
mslr_test2(nr = 1e3, n = miller$N, s = miller$SD, x = miller$Mean)
``` |

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