conf.limits.nct.M2 {MBESS}R Documentation

Confidence limits for a noncentrality parameter from a t-distribution (Method 2 of 3)

Description

Largely internal function to determine the noncentrality parameters necessary to form a confidence interval around the population noncentrality parameter and related parameters. Method 2 uses the nlm function to determine the critical values. This function requires the ncp to be positive, but the function that should be used conf.limits.nct does not.

Usage

conf.limits.nct.M2(ncp = ncp, df = df, conf.level = .95, alpha.lower = NULL, 
alpha.upper = NULL, tol = 1e-09, sup.int.warns = TRUE, ...)

Arguments

ncp the noncentrality parameter (e.g., observed t-value) of interest
df the degrees of freedom
conf.level the level of confidence for a symmetric confidence interval
alpha.lower the proportion of values beyond the lower limit of the confidence interval (cannot be used with conf.level)
alpha.upper the proportion of values beyond the upper limit of the confidence interval (cannot be used with conf.level)
tol is the tolerance of the iterative method for determining the critical values
sup.int.warns Suppress internal warnings (from internal functions): TRUE or FALSE
... allows one to potentially include parameter values for inner functions

Value

Lower.Limit Value of the distribution with Lower.Limit noncentral value that has at its specified quantile F.value
Prob.Less.Lower Proportion of the distribution beyond (i.e., less than) Lower.Limit
Upper.Limit Value of the distribution with Upper.Limit noncentral value that has at its specified quantile F.value
Prob.Greater.Upper Proportion of the distribution beyond (i.e., larger than) Upper.Limit

Author(s)

Ken Kelley (University of Notre Dame; KKelley@ND.Edu)

See Also

conf.limits.nct, nlm


[Package MBESS version 2.0.0 Index]