conf.limits.nc.chisq: Confidence limits for noncentral chi square parameters...
In psychmeta: Psychometric Meta-Analysis Toolkit

conf.limits.nc.chisq

R Documentation

Confidence limits for noncentral chi square parameters (function and documentation from package 'MBESS' version 4.4.3) Function to determine the noncentral parameter that leads to the observed `Chi.Square`-value, so that a confidence interval for the population noncentral chi-square value can be formed.

Description

Confidence limits for noncentral chi square parameters (function and documentation from package 'MBESS' version 4.4.3) Function to determine the noncentral parameter that leads to the observed Chi.Square-value, so that a confidence interval for the population noncentral chi-square value can be formed.

Usage

conf.limits.nc.chisq(
  Chi.Square = NULL,
  conf.level = 0.95,
  df = NULL,
  alpha.lower = NULL,
  alpha.upper = NULL,
  tol = 1e-09,
  Jumping.Prop = 0.1
)

Arguments

`Chi.Square`	the observed chi-square value
`conf.level`	the desired degree of confidence for the interval
`df`	the degrees of freedom
`alpha.lower`	Type I error for the lower confidence limit
`alpha.upper`	Type I error for the upper confidence limit
`tol`	tolerance for iterative convergence
`Jumping.Prop`	Value used in the iterative scheme to determine the noncentral parameters necessary for confidence interval construction using noncentral chi square-distributions (`0 < Jumping.Prop < 1`)

Details

If the function fails (or if a function relying upon this function fails), adjust the Jumping.Prop (to a smaller value).

Value

Lower.Limit: Value of the distribution with Lower.Limit noncentral value that has at its specified quantile Chi.Square
Prob.Less.Lower: Proportion of cases falling below Lower.Limit
Upper.Limit: Value of the distribution with Upper.Limit noncentral value that has at its specified quantile Chi.Square
Prob.Greater.Upper: Proportion of cases falling above Upper.Limit