View source: R/cTMed-total-central.R
| TotalCentral | R Documentation |
Total Effect Centrality
TotalCentral(phi, delta_t, tol = 0.01)
phi |
Numeric matrix.
The drift matrix ( |
delta_t |
Vector of positive numbers.
Time interval
( |
tol |
Numeric. Smallest possible time interval to allow. |
The total effect centrality of a variable is the sum of the total effects of a variable on all other variables at a particular time interval.
Returns an object
of class ctmedmed which is a list with the following elements:
Function call.
Function arguments.
Function used ("TotalCentral").
A matrix of total effect centrality.
Ivan Jacob Agaloos Pesigan
Bollen, K. A. (1987). Total, direct, and indirect effects in structural equation models. Sociological Methodology, 17, 37. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/271028")}
Deboeck, P. R., & Preacher, K. J. (2015). No need to be discrete: A method for continuous time mediation analysis. Structural Equation Modeling: A Multidisciplinary Journal, 23 (1), 61–75. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10705511.2014.973960")}
Ryan, O., & Hamaker, E. L. (2021). Time to intervene: A continuous-time approach to network analysis and centrality. Psychometrika, 87 (1), 214–252. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s11336-021-09767-0")}
Other Continuous-Time Mediation Functions:
BootBeta(),
BootBetaStd(),
BootIndirectCentral(),
BootMed(),
BootMedStd(),
BootTotalCentral(),
DeltaBeta(),
DeltaBetaStd(),
DeltaIndirectCentral(),
DeltaMed(),
DeltaMedStd(),
DeltaTotalCentral(),
Direct(),
DirectStd(),
Indirect(),
IndirectCentral(),
IndirectStd(),
MCBeta(),
MCBetaStd(),
MCIndirectCentral(),
MCMed(),
MCMedStd(),
MCPhi(),
MCPhiSigma(),
MCTotalCentral(),
Med(),
MedStd(),
PosteriorBeta(),
PosteriorIndirectCentral(),
PosteriorMed(),
PosteriorTotalCentral(),
Total(),
TotalStd(),
Trajectory()
phi <- matrix(
data = c(
-0.357, 0.771, -0.450,
0.0, -0.511, 0.729,
0, 0, -0.693
),
nrow = 3
)
colnames(phi) <- rownames(phi) <- c("x", "m", "y")
# Specific time interval ----------------------------------------------------
TotalCentral(
phi = phi,
delta_t = 1
)
# Range of time intervals ---------------------------------------------------
total_central <- TotalCentral(
phi = phi,
delta_t = 1:30
)
plot(total_central)
# Methods -------------------------------------------------------------------
# TotalCentral has a number of methods including
# print, summary, and plot
total_central <- TotalCentral(
phi = phi,
delta_t = 1:5
)
print(total_central)
summary(total_central)
plot(total_central)
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