Normal distribution with profiled-out standard deviation
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
dnorm_n(x, mean, log = FALSE)
x |
numeric vector of data |
mean |
numeric vector or mean values |
log |
logical: return the log-density? |
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
Numeric vector of probability densities
set.seed(101) x <- rnorm(5,mean=3,sd=2) dnorm_n(x,mean=3,log=TRUE)
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