postRho: Sample a value from the full conditional posterior of rho
In skipTrack: A Bayesian Hierarchical Model that Controls for Non-Adherence in Mobile Menstrual Cycle Tracking
postRho R Documentation
Sample a value from the full conditional posterior of rho
Description
In our model the data are drawn from LogN(mu_ij + log(c_ij), tau_i). mu_ij = Xi^T %*%Beta + bi, where the prior
for bi is given as N(0, rho). This function draws from the conditional posterior of rho, given
that the prior on rho is a uniform prior on the standard deviation.
Usage
postRho(b)
Arguments
b
Numeric vector, Random intercepts for individuals
Value
Numeric
skipTrack documentation built on Sept. 10, 2025, 10:27 a.m.
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| postRho | R Documentation |
Sample a value from the full conditional posterior of rho
Description
In our model the data are drawn from LogN(mu_ij + log(c_ij), tau_i). mu_ij = Xi^T %*%Beta + bi, where the prior for bi is given as N(0, rho). This function draws from the conditional posterior of rho, given that the prior on rho is a uniform prior on the standard deviation.
Usage
postRho(b)
Arguments
b |
Numeric vector, Random intercepts for individuals |
Value
Numeric
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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