conf.limits.nct.M1 {MBESS} | R Documentation |
Largely internal function to determine the noncentrality parameters necessary to form a confidence interval for the population noncentrality parameter and related parameters.
Method 1 uses the optimize
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.
conf.limits.nct.M1(ncp, df, conf.level = .95, alpha.lower = NULL, alpha.upper = NULL, min.ncp = -3 * ncp, max.ncp = 3 * ncp, tol = 1e-09, sup.int.warns = TRUE, ...)
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 ) |
min.ncp |
lower noncentral parameter from which to start the search process |
max.ncp |
lower noncentral parameter from which to start the search process |
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 |
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 |
Ken Kelley (University of Notre Dame; KKelley@ND.Edu)
conf.limits.nct
, optimize