baclava (version 1.0)

Bayesian Analysis of Cancer Latency with Auxiliary Variable Augmentation

Description

A novel data-augmentation Markov chain Monte Carlo sampling algorithm to fit a progressive compartmental model of disease in a Bayesian framework Morsomme, R.N., Holloway, S.T., Ryser, M.D. and Xu J. (2024) .

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Version

Install

install.packages('baclava')

Monthly Downloads

715

Version

1.0

License

GPL-3

Maintainer

Shannon Holloway

Last Published

September 25th, 2024

Functions in baclava (1.0)

aloocv

Approximate Leave-One-Out Cross-Validation

cohortODX

Cohort-specific Overdiagnosis

predictODX

Estimate the Overall and Per Screen Overdiagnosis Rates

all_cause_rates

All Cause Mortality Rates

fit_baclava

Bayesian Analysis of Cancer Latency with Auxiliary Variable Augmentation

plot.baclava

Plot Posterior Distribution Parameters

screen_data

Toy Dataset