dnorm_n {bbmle} | R Documentation |
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)
[Package bbmle version 1.0.25.1 Index]