gnlParam: Test parameter sets for the Generalised Normal Laplace...
In sjp/NormalLaplace: The Normal Laplace Distribution
Description
Datasets have been created for the purpose of testing functions related to
the Generalised Normal Laplace distribution. These test a wide range of possible parameters.
gnlLargeParam and gnlSmallParam vary over all of the Generalised Normal Laplace
parameters while gnlLargeShape and gnlSmallShape vary over all parameters except
mu (mu is fixed at 0).
Usage
1
Format
The gnlParam data are all matrices that each have the following columns:
[, 1] mu
[, 2] sigma
[, 3] alpha
[, 4] beta
[, 5] rho
The number of rows present in each matrix is:
gnlLargeParam 31752
gnlSmallParam 108
gnlLargeShape 4536
gnlSmallShape 54
sjp/NormalLaplace documentation built on May 30, 2019, 12:06 a.m.
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Description
Datasets have been created for the purpose of testing functions related to the Generalised Normal Laplace distribution. These test a wide range of possible parameters.
gnlLargeParam and gnlSmallParam vary over all of the Generalised Normal Laplace
parameters while gnlLargeShape and gnlSmallShape vary over all parameters except
mu (mu is fixed at 0).
Usage
1 |
Format
The gnlParam data are all matrices that each have the following columns:
| [, 1] | mu |
| [, 2] | sigma |
| [, 3] | alpha |
| [, 4] | beta |
| [, 5] | rho |
The number of rows present in each matrix is:
| gnlLargeParam | 31752 |
| gnlSmallParam | 108 |
| gnlLargeShape | 4536 |
| gnlSmallShape | 54 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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