| print.mma {mma} | R Documentation |
Print a mma object
Description
Print the estimation of mediation effects from an mma object.
Usage
## S3 method for class 'mma'
print(x,...,digit=3)
Arguments
x |
a mma object created initially call to mma, boot.med.binx, or boot.med.contx. |
... |
other arguments passed to the print function. |
digit |
the number of decimal digits to keep. |
Value
Return a LIST
ie |
estimation of the indirect effects from the mma object. |
te |
estimation of the total effect from the mma object. |
de |
estimation of the direct effect from the mma object. |
Author(s)
Qingzhao Yu qyu@lsuhsc.edu
References
Yu, Q., Fan, Y., and Wu, X. (2014) <doi:10.4172/2155-6180.1000189>. "General Multiple Mediation Analysis With an Application to Explore Racial Disparity in Breast Cancer Survival," Journal of Biometrics & Biostatistics,5(2): 189.
Yu, Q., Scribner, R.A., Leonardi, C., Zhang, L., Park, C., Chen, L., and Simonsen, N.R. (2017) <doi:10.1016/j.sste.2017.02.001>. "Exploring racial disparity in obesity: a mediation analysis considering geo-coded environmental factors," Spatial and Spatio-temporal Epidemiology, 21, 13-23.
Yu, Q., and Li, B. (2017) <doi:10.5334/hors.160>. "mma: An r package for multiple mediation analysis," Journal of Open Research Software, 5(1), 11.
Yu, Q., Wu, X., Li, B., and Scribner, R. (2018). <doi:10.1002/sim.7977>. "Multiple Mediation Analysis with Survival Outcomes – With an Application to Explore Racial Disparity in Breast Cancer Survival," Statistics in Medicine.
Yu, Q., Medeiros, KL, Wu, X., and Jensen, R. (2018). <doi:10.1007/s11336-018-9612-2>. "Explore Ethnic Disparities in Anxiety and Depression Among Cancer Survivors Using Nonlinear Mediation Analysis," Psychometrika, 83(4), 991-1006.
See Also
Examples
data("weight_behavior")
x=weight_behavior[,c(2,4:14)]
pred=weight_behavior[,3]
y=weight_behavior[,15]
temp.b.b.glm<-mma(x,y,pred=pred,contmed=c(7:9,11:12),binmed=c(6,10),binref=c(1,1),
catmed=5,catref=1,predref="M",alpha=0.4,alpha2=0.4,n=2,n2=2)
print(temp.b.b.glm,digit=8)