pw2pn {countHMM} | R Documentation |

## pw2pn

### Description

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

and `fitMod`

).

### Usage

```
pw2pn(N,parvect,stationary,sup)
```

### Arguments

`N` |
Integer, number of states. |

`parvect` |
Vector of working parameters. |

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

`sup` |
Integer, determines the upper bound of the support of the state-dependent distributions. |

### Value

A list of natural parameters.

### Examples

```
# transforming natural parameters to working paramters
parvect = 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)
# transforming working parameters to natural parameters
pw2pn(N=2,parvect=parvect,stationary=TRUE,sup=41)
```

[Package

*countHMM*version 0.1.0 Index]