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]