conf.limits.nc.chisq | R Documentation |
Chi.Square
-value,
so that a confidence interval for the population noncentral chi-squrae value can be formed.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-squrae value can be formed.
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 )
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 ( |
If the function fails (or if a function relying upon this function fails), adjust the Jumping.Prop
(to a smaller value).
Lower.LimitValue of the distribution with Lower.Limit
noncentral value that has at its specified quantile Chi.Square
Prob.Less.LowerProportion of cases falling below Lower.Limit
Upper.LimitValue of the distribution with Upper.Limit
noncentral value that has at its specified quantile Chi.Square
Prob.Greater.UpperProportion of cases falling above Upper.Limit
Ken Kelley (University of Notre Dame; KKelley@ND.edu), Keke Lai (University of California–Merced)
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