R package for statistical inference using partially observed Markov processes
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Updated
May 14, 2024 - R
R package for statistical inference using partially observed Markov processes
Easy Handling Discrete Time Markov Chains
📈Markov Models for Health Economic Evaluations
An R package to calculate Elo ratings
msmtools introduces a fast and general method for restructuring classical longitudinal datasets into augmented ones.
R codes for the example in the paper titled "A theoretical framework for state-transition cohort model in health decision analysis," https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205543
R code for the case study in the manuscript titled "Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis."
Variable Length Markov Chains with Covariates
R script to modelize a tennis match with Markov chains (games, tie-breaks, sets, match)
A stokhazesthai (stochastic) process, also called a random process, is one in which outcomes are uncertain (MAT 455, ISU).
This repo contains R scripts related to Bayesian Networks which are tested and validated.
Analyzes text using the discrete time Markov model
This project builds and validates a Markov model to predict the clinical trajectory of hospitalized COVID-19 patients at UCSF
🌲👻 Testing the phylogenetic reality of the living fossil with an EDBMM
Marketing Channel Attribution using Markov Model
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