Description Usage Arguments Value

View source: R/TS_family_dmt.R

The `dmt`

-function can create a sample where different
trigonometric functions live at separate levels. This function is
at the moment rather simplistic, as its main intention is to just
create an example for ISNPS-2016 (and I'm running low on time)

1 2 |

`n` |
The number of samples to create. |

`A` |
A matrix whose first row should be the positions and
second row should be the probabilites of getting there. The
cases of main interest to investigate is the case where this
describes a process having expectation |

`delta` |
Either a single number, or a vector whose length
equals the number of columns in |

`delta_range` |
Either |

`alpha` |
Either a single number, or a vector whose length equals
the number of columns in |

`theta` |
Either a single number, or a vector whose length
equals the number of columns in |

`wn` |
A list that specifies how to sample from some
distribution. The default is to use standard normal white
noise. Note: It's assumed that this should be white noise, but
there's no test that prevents a user from selecting something
different. The value |

`seed` |
An integer to be used for the specification of a seed, the default value NULL will trigger a seed to be selected at random. |

A sample of length `n`

based on the specifications
given in the other arguments

LAJordanger/localgaussSpec documentation built on July 28, 2017, 12:15 a.m.

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