GitHub topics: multistate-models
arnobotha/LifetimePD-TermStructure-Multistate
R-codebase for a scientific research article, titled "Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework"
Language: R - Size: 22.7 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 2 - Forks: 0
edoardodraetta/scikit-multistate
Multistate modeling in python compatible with scikit-learn.
Language: Python - Size: 538 KB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0
benabijah/EHR
Diabetes Progression in Electronic Health Records
Language: HTML - Size: 3.67 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
willekens/VirtualPop
VirtualPop generates a virtual population from demographic data
Language: R - Size: 2.75 MB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 1
insightsengineering/simIDM
Simulation Engine for Multistate Models
Language: R - Size: 4.04 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 13 - Forks: 1
qmarcou/netidmtpreg
An R package to compute net survival transition probabilities in an illness-death model using binomial regression
Language: R - Size: 306 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
RedDoorAnalytics/multistate
multistate provides a general framework for flexible parametric modelling of arbitrary multi-state survival models in Stata
Language: Stata - Size: 2.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 2
oliviergimenez/multistate_occupancy
Code to fit a multistate occupancy model with uncertainty in Jags
Size: 428 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0
timonelmer/dena
dena is an R package that aids in preprocessing, modeling, and visualization of categorical time-to-event data and egocentric social network dynamics
Language: HTML - Size: 11.9 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
zipkinlab/DiRenzo_etal_2019_EcolAndEvol Fork of Grace89/DiRenzo_etal_Eco-Evo
DiRenzo G. V., Che‐Castaldo C., Saunders S. P., Campbell Grant E. H., Zipkin E. F. 2019. Disease‐structured N‐mixture models: A practical guide to model disease dynamics using count data. Ecology and Evolution 9: 899–909.
Language: HTML - Size: 25.2 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
