lindUC: The Lindley Distribution

Description Usage Arguments Details Value Author(s) See Also Examples

Description

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

Usage

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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

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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)

VGAM documentation built on Jan. 16, 2021, 5:21 p.m.