Description Usage Arguments Value See Also Examples

Function to calculate the equivalent values for the mean and standard deviation of a normal distribution from the mean and standard deviation of the log-normal distribution. Outputs from this function can be used with the dnorm() function, and with the normal distribution in JAGS.

1 | ```
normal.params(log.mean, log.sd, coeff.variation=sqrt(exp(log.sd^2)-1))
``` |

`log.mean` |
either a single value or vector of values for the mean of the lognormal distribution. |

`log.sd` |
either a single value or vector of values for the standard deviation of the lognormal distribution. Ignored if values are supplied for coeff.variation. |

`coeff.variation` |
either a single value or vector of values for the coefficient of dispersion. |

A list with elements representing the mean of the normal distribution, the standard deviation of the normal distribution, and the coefficient of variation.

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mdenwood/bayescount documentation built on Sept. 2, 2017, 11:33 p.m.

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