qprodnormal: Quantile for the Distribution of Product of Two Normal...

In RMediation: Mediation Analysis Confidence Intervals

Quantile for the Distribution of Product of Two Normal Variables

Description

Generates quantiles for the distribution of product of two normal random variables

Usage

qprodnormal(
  p,
  mu.x,
  mu.y,
  se.x,
  se.y,
  rho = 0,
  lower.tail = TRUE,
  type = "dop",
  n.mc = 1e+05
)

Arguments

p	probability
mu.x	mean of x
mu.y	mean of y
se.x	standard error (deviation) of x
se.y	standard error (deviation) of y
rho	correlation between x and y, where -1 <rho < 1. The default value is 0.
lower.tail	logical; if TRUE (default), the probability is P[X*Y < q]; otherwise, P[X*Y > q]
type	method used to compute confidence interval. It takes on the values "dop" (default), "MC", "asymp" or "all"
n.mc	when type="MC", n.mc determines the sample size for the Monte Carlo method. The default sample size is 1E5.

Details

This function returns a quantile and the associated error (accuracy) corresponding the requested percentile (probability) p of the distribution of product of mediated effect (product of two normal random variables). To obtain a quantile using a specific method, the argument type should be specified. The default method is type="dop", which uses the method described by Meeker and Escobar (1994) to evaluate the CDF of the distribution of product of two normal variables. type="MC" uses the Monte Carlo approach (Tofighi & MacKinnon, 2011). type="all" prints quantiles using all three options. For the method type="dop", the error is the modulus of absolute error for the numerical integration (for more information see Meeker and Escobar, 1994). For type="MC", the error refers to the Monte Carlo error.

Value

An object of the type list that contains the following values:

q	quantile corresponding to probability p
error	estimate of the absolute error

Author(s)

Davood Tofighi [e-mail]

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

medci RMediation-package

Examples

##lower tail
qprodnormal(p=.1, mu.x=.5, mu.y=.3, se.x=1, se.y=1, rho=0,
lower.tail = TRUE, type="all")
##upper tail
qprodnormal(p=.1, mu.x=.5, mu.y=.3, se.x=1, se.y=1, rho=0,
lower.tail = FALSE, type="all")

RMediation documentation built on May 31, 2023, 8:40 p.m.