mlmm v1.0


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Multilevel Model for Multivariate Responses with Missing Values

To conduct Bayesian inference regression for responses with multilevel explanatory variables and missing values(Zeng ISL (2017) <doi:10.1101/153049>). Functions utilizing 'Stan', a software to implement posterior sampling using Hamiltonian MC and its variation Non-U-Turn algorithms are generated and provided to implement the posterior sampling of regression coefficients from the multilevel regression models. The package has two main functions to handle not-missing-at-random missing responses and left-censored with not-missing-at random responses. The purpose is to provide a similar format as the other R regression functions but using 'Stan' models.

Functions in mlmm

Name Description
mlmc mlmc for missing and censored response in multilevel model.
mlmm mlmm function for missing response in multilevel model.
setinitvalues RSTAN code for mlmc() function
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Type Package
Date 2017-10-11
License GPL-2
LinkingTo StanHeaders (>=, rstan (>= 2.16.2), BH (>=, Rcpp (>= 0.12.12), RcppEigen (>=
RoxygenNote 6.0.1
NeedsCompilation yes
Packaged 2017-10-30 23:25:43 UTC; szen003
Repository CRAN
Date/Publication 2017-11-02 11:45:44 UTC

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