`R/distributions.R`

`weibullNMA.Rd`

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)
```

- 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.

`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.