paramtnormci_numeric: Return parameters of truncated normal distribution based on a...
In decisionSupport: Quantitative Support of Decision Making under Uncertainty

paramtnormci_numeric

R Documentation

Return parameters of truncated normal distribution based on a confidence interval.

This function calculates the distribution parameters, i.e. mean and sd, of a truncated normal distribution from an arbitrary confidence interval.

paramtnormci_numeric(
  p,
  ci,
  lowerTrunc = -Inf,
  upperTrunc = Inf,
  relativeTolerance = 0.05,
  rootMethod = "probability",
  ...
)

`p`	`numeric` 2-dimensional vector; probabilities of lower and upper bound of the corresponding confidence interval.
`ci`	`numeric` 2-dimensional vector; lower, i.e `ci[[1]]`, and upper bound, i.e `ci[[2]]`, of the confidence interval.
`lowerTrunc`	`numeric`; lower truncation point of the distribution (>= `-Inf`).
`upperTrunc`	`numeric`; upper truncation point of the distribution (<= `Inf`).
`relativeTolerance`	`numeric`; the relative tolerance level of deviation of the generated confidence interval from the specified interval. If this deviation is greater than `relativeTolerance` a warning is given.
`rootMethod`	`character`; if `="probability"` the equation defining the parameters `mean` and `sd` is the difference between calculated and given probabilities of the confidence interval; if `="quantile"` the equation defining the parameters is the difference between calculated and given upper and lower value of the confidence interval.
`...`	Further parameters passed to `nleqslv`.

For details of the truncated normal distribution see tnorm. #' @importFrom nleqslv nleqslv

A list with elements mean and sd, i.e. the parameters of the underlying normal distribution.