pn2pw {countHMM} | R Documentation |

## pn2pw

### Description

Transforming natural parameters to working parameters. Not intended to be run by the user (internal function, called by the functions `nLogLike`

and `fitMod`

).

### Usage

```
pn2pw(N,probs,gamma,delta,stationary)
```

### Arguments

`N` |
Number of states. |

`probs` |
Matrix with |

`gamma` |
Transition probability matrix of the Markov chain underlying the observed counts with |

`delta` |
Initial distribution vector of length |

`stationary` |
Logical, determines whether the initial distribution of the Markov chain underlying the observed counts is the stationary distribution. |

### Value

A vector of working parameters.

### Examples

```
# transforming natural parameters to working paramters
pn2pw(N=2,probs=cbind(dpois(x=0:41,lambda=14),dpois(x=0:41,lambda=26)),
gamma=matrix(c(0.95,0.05,0.05,0.95),ncol=2),delta=NULL,stationary=TRUE)
```

[Package

*countHMM*version 0.1.0 Index]