R: Utilities for Poisson mixture analyses

calc.p {diveMove} | R Documentation

## Utilities for Poisson mixture analyses

### Description

`calc.p` computes `p` (proportion) parameter from `a` and `lambda` coefficients in a broken stick model.

`build.p.lambda` parses the `x` vector, usually returned by the `coef` method, where x=(p_0,...,p_n,lambda_0,...,lambda_n+1), and build a named list with `p` and `lambda` elements to use in fitting functions.

`logit` and `unLogit` are helpful for reparameterizing the negative maximum likelihood function, if using Langton et al. (1995).

### Usage

    calc.p(coefs)

    build.p.lambda(x)

    logit(p)

    unLogit(logit)

### Arguments

`coefs` | numeric matrix [2,N] of coefficients (`a` and `lambda`) in rows for each process of the model in columns. Columns are assumed to be in decreasing order with respect to `lambda`
`x` | numeric vector of coefficients
`p` | numeric vector of proportions (0-1) to transform to the logit scale.
`logit` | numeric scalar: logit value to transform back to original scale.

### Value

numeric vector with proportion parameters implied by `coefs`.

named (`p`, `lambda`) list with parsed coefficients.

`unLogit` and `logit` return a numeric vector with the (un)transformed arguments.

### Author(s)

Sebastian P. Luque spluque@gmail.com

[Package diveMove version 1.6.0 Index]