anomo (version 1.0.0)

mcci: Compute Monte Carlo Confidence Intervals

Description

Compute Monte Carlo confidence intervals (MCCIs) for the difference and equivalence tests.

Usage

mcci(
  d1 = NULL,
  se1 = NULL,
  d2 = NULL,
  se2 = NULL,
  n.mcci = 10000,
  sig.level = 0.05,
  two.tailed = TRUE,
  eq.bd = NULL,
  xlim = NULL,
  xlab = NULL,
  ylab = NULL,
  dashed.lines = TRUE,
  verbose = TRUE
)

Value

The results of moderation analysis and equivalence tests using the MCCI method. It will also provide a plot for the MCCIs.

Arguments

d1

The estimated mean(s) (effect(s)) for group 1 (study 1). If more than one effect is specified, it assumes that the effects are components of a mediation effect.

se1

The estimated standard error for d1. If more than one standard error is specified, it assumes that they are estimated components of a mediation effect.

d2

The estimated mean(s) (effect(s)) for group 2 (study 2). If more than one effect is specified, it assumes that the effects are components of a mediation effect.

se2

The estimated standard error for d2. If more than one standard error is specified, it assumes that they are estimated components of a mediation effect.

n.mcci

The number of draws for the MCCI method. Default is 10,000.

sig.level

The significance level. Default is .05.

two.tailed

Logical of two tailed test for difference test. Default is TRUE.

eq.bd

The limit of the equivalence bounds for an equivalence test. Default is the MCCI for the equivalence test. It can be specified in the arguments as eq.bd = a positive number or eq.bd = c(lower bound #, upper bound #).

xlim

The limits set for the x-axis in the plot. Default is the MCCI for the difference test. It can be specified in the arguments as xlim = c(lower #, higher #).

xlab

The label for the x-axis in the plot. Default is "Differences in Effects".

ylab

The label for the y-axis in the plot. Default is NULL.

dashed.lines

Logical of whether dashed lines of equivalence bounds and zero should be added in the plot. Default is TRUE.

verbose

Logical; print the process if TRUE, otherwise not; default value is TRUE.

Examples

   library(anomo)
   # compute MCCI from two studies
    myci <- mcci(d1 = .1, se1 = .1, d2 = .2, se2 = .1)
   # compute MCCI from one study
   myci <- mcci(d1 = .1, se1 = .1)

# See the package vignettes for more examples, including the MCCI for the
# test of significance and equivalence for mediation effects in two studies.