FromVectorToMatrix_BPBM {CoDaLoMic} | R Documentation |
Writting the parameters in the matrix form required in BPBM model
Description
StudyingParam
returns a matrix where the value of the parameters is in the column "mean". This function inputs this columns and outputs the parameters in the matrix form required by the BPBM model.
Usage
FromVectorToMatrix_BPBM(param, MatrizPBmodelo, E)
Arguments
param |
Vector. Column "mean" of the output of "StudyingParam" function. | |||||||||
MatrizPBmodelo |
Matrix with the covariates of the model. In an example with two SPBal and three time points, the covariates are written in the following order:
| |||||||||
E |
Number of bacteria in the dataset. |
Value
Returns a matrix with the parameters in the order required by the BPBM model.
References
Creus-MartÃ, I., Moya, A., Santonja, F. J. (2022). Bayesian hierarchical compositional models for analysing longitudinal abundance data from microbiome studies. Complexity, 2022.
Examples
set.seed(314)
especie=t(gtools::rdirichlet(n=6, c(6,6,1,6,6)))
E=5
Tt=6
MatrizPBmodelo=rbind(c(1,1,1,1,1,1),
c(-0.3,0.4,0.3,-0.7,-0.4,-0.6),
c(0.3,0.5,-0.3,0.1,0.4,0.1))
est=Estimating_BPBM(especie,
Tt,
E,
MatrizPBmodelo,
nn.chain=3,
nn.burnin=1000,
nn.sample=5000,
nn.thin=10)
mm=StudyingParam(est$R2jagsOutput$BUGSoutput$summary,est$SamplesAllChains)
FromVectorToMatrix_BPBM(mm$Param.Summary[,"mean"],MatrizPBmodelo,5)
[Package CoDaLoMic version 0.1.1 Index]