ci
(Package: RMediation) :
CI for a nonlinear function of coefficients estimates
This function returns a (1-α)% confidence interval (CI) for a well–defined nonlinear function of the coefficients in single–level and multilevel structural equation models. The ci function uses the Monte Carlo (type="MC") and the asymptotic normal theory (type="asymp") with the multivariate delta standard error (Asymptotic–Delta) method (Sobel, 1982) to compute a CI. In addition, for each of the methods, when a user specifies plot=TRUE and plotCI=TRUE, a plot of the sampling distribution of the quantity of interest in the quant argument and an overlaid plot of the CI will be produced. When type="all" and plot=TRUE, two overlaid plots of the sampling distributions corresponding to each method will be produced; when plotCI=TRUE, then the overlaid plots of the CIs for both methods will be displayed as well.
● Data Source:
CranContrib
● Keywords: distribution, regression
● Alias: ci
●
3 images
pMC
(Package: RMediation) :
Probability (percentile) for the Monte Carlo Sampling Distribution of a nonlinear function of coefficients estimates
This function returns a probability corresponding to the quantile q.
We provide functions to compute confidence intervals (CIs) for a well–defined nonlinear function of the model parameters (e.g., product of k coefficients) in single–level and multilevel structural equation models.