IRIS Toolbox Reference Manual

## lognormal

Characteristics of log-normal distributions returned by filter of forecast

#### Syntax

    D = lognormal(M,D,...)

#### Input arguments

- `M` [ model ] - Model on which the `filter` or `forecast` function has been run.

- `D` [ struct ] - Struct or database returned from the `filter` or `forecast` function.

#### Output arguments

- `D` [ struct ] - Struct including new sub-databases with requested log-normal statistics.

#### Options

- `'fresh='` [ `true` | `false` ] - Output structure will include only the newly computed databases.

- `'mean='` [ `true` | `false` ] - Compute the mean of the log-normal distributions.

- `'median='` [ `true` | `false` ] - Compute the median of the log-normal distributions.

- `'mode='` [ `true` | `false` ] - Compute the mode of the log-normal distributions.

- `'prctile='` [ numeric | [5,95] ] - Compute the selected percentiles of the log-normal distributions.

- `'prefix='` [ char | 'lognormal' ] - Prefix used in the names of the newly created databases.

- `'std='` [ `true` | `false` ] - Compute the std deviations of the log-normal distributions.

#### Description

IRIS Toolbox. Copyright © 2007—2013 Jaromir Benes.