ssNormPars {bootComb} | R Documentation |

## Compute the sum of squares between the theoretical and observed quantiles of a normal / Gaussian distribution.

### Description

This is a helper function that compute the sum of squares between two theoretical and observed quantiles of a normal distribution (typically the lower and upper bounds of a confidence interval). This function is for internal use to find the best-fit normal distribution for a given confidence interval.

### Usage

```
ssNormPars(muSigPars, qLow, qUpp, alpha = 0.05)
```

### Arguments

`muSigPars` |
The mean and standard deviation parameters of the theoretical normal distribution. |

`qLow` |
The observed lower quantile. |

`qUpp` |
The observed upper quantile. |

`alpha` |
The confidence level; i.e. the desired coverage is 1-alpha. Defaults to 0.05. |

### Value

A single number, the sum of squares.

### See Also

`identifyNormPars`

, `optim`

, `qnorm`

[Package

*bootComb*version 1.1.2 Index]