# 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)
# }
```

*Documentation reproduced from package bbmle, version 1.0.23.1, License: GPL*

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