Usage
ss.aipe.reg.coef.sensitivity(True.Var.Y = NULL, True.Cov.YX = NULL,
True.Cov.XX = NULL, Estimated.Var.Y = NULL, Estimated.Cov.YX = NULL,
Estimated.Cov.XX = NULL, Specified.N = NULL, which.predictor = 1,
w = NULL, Noncentral = FALSE, Standardize = FALSE, conf.level = 0.95,
degree.of.certainty = NULL, assurance=NULL, certainty=NULL, G = 1000, print.iter = TRUE)
Arguments
True.Var.Y
Population variance of the dependent variable (Y)
True.Cov.YX
Population covariances vector between the p predictor variables and the dependent variable (Y)
True.Cov.XX
Population covariance matrix of the p predictor variables
Estimated.Var.Y
Estimated variance of the dependent variable (Y)
Estimated.Cov.YX
Estimated covariances vector between the p predictor variables and the dependent variable (Y)
Estimated.Cov.XX
Estimated Population covariance matrix of the p predictor variables
Specified.N
Directly specified sample size (instead of using Estimated.Rho.YX and Estimated.RHO.XX)
which.predictor
identifies which of the p predictors is of interest
w
desired confidence interval width for the regression coefficient of interest
Noncentral
specify with a TRUE or FALSE statement whether or not the noncentral approach to sample size planning should be used
Standardize
specify with a TRUE or FALSE statement whether or not the regression coefficient will be standardized
conf.level
desired level of confidence for the computed interval (i.e., 1 - the Type I error rate)
degree.of.certainty
degree of certainty that the obtained confidence interval will be sufficiently narrow
assurance
an alias for degree.of.certainty
certainty
an alias for degree.of.certainty
G
the number of generations/replication of the simulation student within the function
print.iter
specify with a TRUE/FALSE statement if the iteration number should be printed as the simulation within the function runts