dnorm_n
From bbmle v1.0.23.1
by Ben Bolker
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
- Keywords
- distribution
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
# NOT RUN {
set.seed(101)
x <- rnorm(5,mean=3,sd=2)
dnorm_n(x,mean=3,log=TRUE)
# }
Community examples
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