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`r lifecycle::badge("deprecated")`

Usage

qmixnorm(
  p,
  means,
  sds,
  weights = rep(1, length(means)),
  na.rm = FALSE,
  approx = TRUE,
  ...
)

Arguments

p

vector of probabilities.

means

a vector of normal distribution means

sds

a vector of normal distribution sds

weights

a vector of weights

na.rm

remove distributions with NA values for mean or sd

approx

use Cornish Fisher moment based approximation if available

...

passed on to internal function, `samples=TRUE` to force random sampling

Value

the value of the `p`th quantile

Examples

qmixnorm(p=c(0.025,0.5,0.975), means=c(10,13,14), sds=c(1,1,2))
#>   q.0.025     q.0.5   q.0.975 
#>  8.283261 12.274242 16.785113