dnorm_n: Normal distribution with profiled-out standard deviation

In bbmle: Tools for General Maximum Likelihood Estimation

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)

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

Value

Numeric vector of probability densities

Examples

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

bbmle documentation built on May 29, 2024, 11:02 a.m.