gibbsStepLi: Gibbs Step Li - One MCMC step for the Li Model

In skipTrack: A Bayesian Hierarchical Model that Controls for Non-Adherence in Mobile Menstrual Cycle Tracking

Gibbs Step Li - One MCMC step for the Li Model

Description

Gibbs Step Li - One MCMC step for the Li Model

Usage

gibbsStepLi(ijDat, iDat, kappa, gamma, alpha, beta, S, indFirst)

Arguments

ijDat	A data.frame with parameters at the individual-observation level: Individual, ys, lambdais, piis, ss.
iDat	A data.frame with parameters at the individual level: Individual, lambdas, pis.
kappa	Fixed value of hyperparameter kappa.
gamma	Fixed value of hyperparameter gamma.
alpha	Fixed value of hyperparameter alpha.
beta	Fixed value of hyperparamter beta.
S	Fixed input value S.
indFirst	A logical vector indicating the first occurrence of each individual.

Value

A list containing one MCMC draws for each parameter. Elements are:

ijDat

A data.frame with updated parameters at the individual-observation level: Individual, ys, lambdais, piis, ss.

iDat

A data.frame with updated parameters at the individual level: Individual, lambdas, pis.

kappa

Fixed value of hyperparameter kappa.

gamma

Fixed value of hyperparameter gamma.

alpha

Fixed value of hyperparameter alpha.

beta

Fixed value of hyperparamter beta.

S

Fixed input value S.

indFirst

A logical vector indicating the first occurrence of each individual.

References

Li, Kathy, et al. "A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking." Journal of the American Medical Informatics Association 29.1 (2022): 3-11.

skipTrack documentation built on Sept. 10, 2025, 10:27 a.m.