weibullNMA: Parameterization of the Weibull distribution for network...

In InnovationValueInitiative/hesim: Health Economic Simulation Modeling and Decision Analysis

Parameterization of the Weibull distribution for network meta-analysis

Description

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

Usage

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.

See Also

dweibull

InnovationValueInitiative/hesim documentation built on Sept. 26, 2024, 4:08 a.m.