bbmle (version 1.0.25.1)

dnorm_n: Normal distribution with profiled-out standard deviation

Description

Returns the Normal probability densities for a distribution with the given mean values and the standard deviation equal to the root mean-squared deviation between x and mu

Usage

dnorm_n(x, mean, log = FALSE)

Value

Numeric vector of probability densities

Arguments

x

numeric vector of data

mean

numeric vector or mean values

log

logical: return the log-density?

Details

This is a convenience function, designed for the case where you're trying to compute a MLE for the mean but don't want to bother estimating the MLE for the standard deviation at the same time

Examples

set.seed(101)
x <- rnorm(5,mean=3,sd=2)
dnorm_n(x,mean=3,log=TRUE)