qMC {RMediation} | R Documentation |
Quantile for the Monte Carlo Sampling Distribution of a nonlinear function of coefficients estimates
Description
This function returns a quantile corresponding to the probability p
.
Usage
qMC(p, mu, Sigma, quant, n.mc = 1e+06, ...)
Arguments
p |
probability. |
mu |
a vector of means (e.g., coefficient estimates) for the normal random variables. A user can assign a name to each mean value, e.g., |
Sigma |
either a covariance matrix or a vector that stacks all the columns of the lower triangle variance–covariance matrix one underneath the other. |
quant |
quantity of interest, which is a nonlinear/linear function of the model parameters. Argument |
n.mc |
Monte Carlo sample size. The default sample size is 1e+6. |
... |
additional arguments. |
Value
scalar quantile value.
Author(s)
Davood Tofighi dtofighi@gmail.com
References
Tofighi, D. and MacKinnon, D. P. (2011). RMediation: An R package for mediation analysis confidence intervals. Behavior Research Methods, 43, 692–700. doi:10.3758/s13428-011-0076-x
See Also
Examples
qMC(.05,mu=c(b1=1,b2=.7,b3=.6, b4= .45), Sigma=c(.05,0,0,0,.05,0,0,.03,0,.03),
quant=~b1*b2*b3*b4)