paramsexp: Monte Carlo Simulation Parameters (Exponential X)

In jeksterslabds/jeksterslabRmedsimple: Jekster's Lab Simple Mediation Model Utilities

Description

Monte Carlo Simulation Parameters (Exponential X)

Usage

paramsexp

Format

A data frame with 12 variables

taskid

Simulation task identification number.

rate

Rate. Exponential distribution parameter λ.

n

Sample size.

mux

Population mean of x ≤ft( μ_x \right).

mum

Population mean of m ≤ft( μ_m \right).

muy

Population mean of y ≤ft( μ_y \right).

taudot

Population slope of path from x to y ≤ft( \dot{τ} \right)

beta

Population slope of path from m to y ≤ft( β \right)

alpha

Population slope of path from x to m ≤ft( α \right)

sigma2x

Population variance of x ≤ft( σ_{x}^{2} \right)

sigma2m

Population variance of m ≤ft( σ_{m}^{2} \right)

sigma2y

Population variance of y ≤ft( σ_{y}^{2} \right)

reps

Monte Carlo replications.

Details

The simple mediation model is given by

y_i = δ_y + \dot{τ} x_i + β m_i + \varepsilon_{y_{i}}

m_i = δ_m + α x_i + \varepsilon_{m_{i}}

The parameters for the mean structure are

\boldsymbol{θ}_{\text{mean structure}} = ≤ft\{ μ_x, δ_m, δ_y \right\} .

The parameters for the covariance structure are

\boldsymbol{θ}_{\text{covariance structure}} = ≤ft\{ \dot{τ}, β, α, σ_{x}^{2}, σ_{\varepsilon_{m}}^{2}, σ_{\varepsilon_{y}}^{2} \right\} .

See Also

Other parameters functions: paramsbeta, paramsmvn

Examples

data(paramsexp, package = "jeksterslabRmedsimple")
head(paramsexp)
str(paramsexp)

jeksterslabds/jeksterslabRmedsimple documentation built on Oct. 16, 2020, 11:30 a.m.