R: The Lindley Distribution

Lindley {VGAM} | R Documentation

## The Lindley Distribution

### Description

Density, cumulative distribution function, and random generation for the Lindley distribution.

### Usage

    dlind(x, theta, log = FALSE)
    plind(q, theta, lower.tail = TRUE, log.p = FALSE)
    rlind(n, theta)

### Arguments

`x, q` | vector of quantiles.

`n` | number of observations. Same as in `runif`.
`log` | Logical. If `log = TRUE` then the logarithm of the density is returned.
`theta` | positive parameter.
`lower.tail, log.p` | Same meaning as in `pnorm` or `qnorm`.

### Details

See `lindley` for details.

### Value

`dlind` gives the density, `plind` gives the cumulative distribution function, and `rlind` generates random deviates.

### Author(s)

T. W. Yee and Kai Huang

### See Also

`lindley`.

### Examples

    theta <- exp(-1); x <- seq(0.0, 17, length = 700)
    dlind(0:10, theta)
    ## Not run:
    plot(x, dlind(x, theta), type = "l", las = 1, col = "blue",
         main = "dlind(x, theta = exp(-1))")
    abline(h = 1, col = "grey", lty = "dashed")
    ## End(Not run)

[Package VGAM version 1.0-3 Index]