Title: Latent Variable Model to Infer Food Intake from Multiple
Description: A latent variable model based on factor analytic and mixture of experts models, designed to infer food intake from multiple biomarkers data. The model is framed within a Bayesian hierarchical framework, which provides flexibility to adapt to different biomarker distributions and facilitates inference on food intake from biomarker data alone, along with the associated uncertainty. Details are in D'Angelo, et al. (2020) <arXiv:2006.02995>.
Authors@R: c( person("Silvia", "D\'Angelo", role = c("aut", "cre"),
person("Claire", "Gormley", role = "ctb"),
person("Lorraine", "Brennan", role = "ctb")

Description: A latent variable model based on factor analytic and mixture of experts models, designed to infer food intake from multiple biomarkers data. The model is framed within a Bayesian hierarchical framework, which provides flexibility to adapt to different biomarker distributions and facilitates prediction of the intake along with its associated uncertainty. Details are in D'Angelo, et al. (2020) <arXiv:2006.02995>.

Title: Variable Importance Analysis with Population Intervention Models
Author: Stephan Ritter <sritter@berkeley.edu>, Alan Hubbard
Depends: lars (>= 0.9-8), penalized, polspline, randomForest, rpart
Description: Performs variable importance analysis for possibly many
exposures of interest and possibly many outcomes of interest.
This is done by fitting Population Intervention Models, using
either Inverse Probability of Censoring Weighted (IPCW) or
Double-Robust IPCW (DR-IPCW) estimators. Inference can be
obtained from the influence curve or by bootstrapping.

Depends: lars (>= 0.9-8), penalized, polspline, rpart
This is done by fitting Population Intervention Models. The
default is to use a Targeted Maximum Likelihood Estimator
(TMLE). The other available estimators are Inverse Probability
of Censoring Weighted (IPCW), Double-Robust IPCW (DR-IPCW), and
Graphical Computation (G-COMP) estimators. Inference can be
obtained from the influence curve (plug-in) or by