Oipospois {VGAM} | R Documentation

## One-Inflated Positive Poisson Distribution

### Description

Density, distribution function, quantile function and random generation for the one-inflated positive Poisson distribution with parameter `pstr1`.

### Usage

    doipospois(x, lambda, pstr1 = 0, log = FALSE)
    poipospois(q, lambda, pstr1 = 0)
    qoipospois(p, lambda, pstr1 = 0)
    roipospois(n, lambda, pstr1 = 0)

### Arguments

`x, p, q, n` | Same as `Pospois`.
`lambda` | Vector of positive means.
`pstr1` | Probability of a structural one (i.e., ignoring the positive Poisson distribution), called phi. The default value of phi = 0 corresponds to the response having a positive Poisson distribution.
`log` | Logical. Return the logarithm of the answer?

### Details

The probability function of Y is 1 with probability phi, and PosPoisson(lambda) with probability 1-phi. Thus

P(Y=1) = phi + (1-phi) * P(W=1)

where W is distributed as a positive Poisson(lambda) random variate.

### Value

`doipospois` gives the density, `poipospois` gives the distribution function, `qoipospois` gives the quantile function, and `roipospois` generates random deviates.

### Note

The argument `pstr1` is recycled to the required length, and usually has values which lie in the interval [0,1].

These functions actually allow for the zero-deflated Poisson distribution. Here, `pstr1` is also permitted to lie in the interval `[-lambda / (expm1(lambda) - lambda), 0]`. The resulting probability of a unit count is less than the nominal positive Poisson value, and the use of `pstr1` to stand for the probability of a structural 1 loses its meaning. When `pstr1` equals `-lambda / (expm1(lambda) - lambda)` this corresponds to the 0- and 1-truncated Poisson distribution.

### Author(s)

T. W. Yee

### See Also

`Pospois`, `oapospoisson`, `oipospoisson`, `otpospoisson`, `pospoisson`, `dpois`, `poissonff`.

### Examples

    lambda <- 3; pstr1 <- 0.2; x <- (-1):7
    (ii <- doipospois(x, lambda, pstr1 = pstr1))
    table(roipospois(100, lambda, pstr1 = pstr1))
    round(doipospois(1:10, lambda, pstr1 = pstr1) * 100)  # Should be similar

    ## Not run:  x <- 0:10
    par(mfrow = c(2, 1))  # One-Inflated Positive Poisson
    barplot(rbind(doipospois(x, lambda, pstr1 = pstr1), dpospois(x, lambda)),
            beside = TRUE, col = c("blue", "orange"),
            main = paste("OIPP(", lambda, ", pstr1 = ", pstr1, ") (blue) vs",
                         " PosPoisson(", lambda, ") (orange)", sep = ""),
            names.arg = as.character(x))

    deflat.limit <- -lambda / (expm1(lambda) - lambda)  # 0-deflated Pos Poisson
    newpstr1 <- round(deflat.limit, 3) + 0.001  # Inside and near the boundary
    barplot(rbind(doipospois(x, lambda, pstr1 = newpstr1),
                    dpospois(x, lambda)),
            beside = TRUE, col = c("blue","orange"),
            main = paste("ODPP(", lambda, ", pstr1 = ", newpstr1, ") (blue) vs",
                         " PosPoisson(", lambda, ") (orange)", sep = ""),
            names.arg = as.character(x))
    ## End(Not run)

[Package VGAM version 1.1-1 Index]