Density, distribution function, hazards, quantile function and random generation for the Weibull distribution when parameterized for network meta-analysis.

dweibullNMA(x, a0, a1 = FALSE, log = FALSE)

pweibullNMA(q, a0, a1, lower.tail = TRUE, log.p = FALSE)

qweibullNMA(p, a0, a1, lower.tail = TRUE, log.p = FALSE)

rweibullNMA(n, a0, a1)

hweibullNMA(n, a0, a1, log = FALSE)

HweibullNMA(n, a0, a1, log = FALSE)

rmst_weibullNMA(t, a0, a1, start = 0)

mean_weibullNMA(a0, a1)

## Arguments

x, q

Vector of quantiles

a0

Intercept of reparameterization of the Weibull distribution.

a1

Slope of the reparameterization of the Weibull distribution.

log, log.p

logical; if TRUE, probabilities p are given as log(p).

lower.tail

logical; if TRUE (default), probabilities are $$P(X \le x)$$, otherwise, $$P(X > x)$$.

p

Vector of probabilities

n

Number of observations. If length(n) > 1, the length is taken to be the number required.

t

Vector of times for which restricted mean survival time is evaluated.

start

Optional left-truncation time or times. The returned restricted mean survival will be conditional on survival up to this time.

## Value

dweibullNMA gives the density, pweibullNMA gives the distribution function, qweibullNMA gives the quantile function, rweibullNMA generates random deviates, HweibullNMA returns the cumulative hazard and hweibullNMA the hazard.

dweibull