finite-mixture

Here are 4 public repositories matching this topic...

junlulocky / PyBGMM

Bayesian inference for Gaussian mixture model with some novel algorithms

python machine-learning gaussian-mixture-models bayesian-inference kevin mixture-model mcmc-sampler crp pcrp finite-mixture infinite-mixture subcrp murphy

Updated May 28, 2018
Python

matteocereda / GSECA

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Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data

gene-sets big-data tcga rna-sequencing pancancer gsea fmm cohorts big-data-analytics finite-mixture variance-analysis handiling-heteogeneity gene-set-analysis data-discretization

Updated Aug 13, 2020
R

ozancicek / artan

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Online latent state estimation with Spark

python streaming scala spark sparkml pyspark kalman-filter finite-mixture spark-structured-streaming

Updated Dec 9, 2020
Scala

The goal of ‘aldvmm’ is to fit adjusted limited dependent variable mixture models of health state utilities in R. Adjusted limited dependent variable mixture models are finite mixtures of normal distributions with an accumulation of density mass at the limits, and a gap between 100% quality of life and the next smaller utility value. The package ‘aldvmm’ uses the likelihood and expected value functions proposed by Hernandez Alava and Wailoo (2015) using normal component distributions and a multinomial logit model of probabilities of component membership.

utilities mapping clinical-trials hta mixture-model quality-of-life cost-effectiveness hui finite-mixture health-economics patient-reported-outcomes limited-dependent-variable eq5d

Updated Jul 22, 2021
R

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