# meangait: Mean of the GAIT Combo Density In VGAM: Vector Generalized Linear and Additive Models

## Description

Returns the mean of a 1- or 2-parameter GAIT combo probability mass function.

## Usage

 ```1 2 3 4 5 6``` ```meangait(theta.p, fam = c("pois", "log", "zeta"), alt.mix = NULL, inf.mix = NULL, alt.mlm = NULL, inf.mlm = NULL, truncate = NULL, max.support = Inf, pobs.mix = 0, pobs.mlm = 0, pstr.mix = 0, pstr.mlm = 0, byrow.ai = FALSE, theta.a = theta.p, theta.i = theta.p, deflation = FALSE, ...) ```

## Arguments

 `theta.p` Same as `dgaitplot`; usually of length 1 but may be of length 2. `fam` Same as `dgaitplot`. The default is the first one. All other choices are listed in that vector. `alt.mix, inf.mix, alt.mlm, inf.mlm` Same as `dgaitplot`. `truncate, max.support` Same as `dgaitplot`. `pobs.mix, pobs.mlm, pstr.mix, pstr.mlm, byrow.ai` Same as `dgaitplot`. `theta.a, theta.i, deflation` Same as `dgaitplot`. `...` Currently unused.

## Details

This function returns the mean of the PMF of the GAIT combo model. Many of its arguments are the same as `dgaitplot`. More functionality may be added in the future, such as returning the variance.

The mean.

## Note

This utility function may change a lot in the future.

## Author(s)

T. W. Yee.

`dgaitplot`, `Gaitpois`, `gaitpoisson`.
 ```1 2 3 4``` ```i.mix <- seq(0, 15, by = 5) lambda.p <- 10 meangait(lambda.p, alt.mix = i.mix + 1, inf.mix = i.mix, max.support = 17, pobs.mix = 0.1, pstr.mix = 0.1) ```