SciML / SciML/EasyModelAnalysis.jl

High level model comparison functionality?

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Dominant language
Julia
Stars
87
Forks
14
Avg merge
21h 12m
Merged PRs (30d)
19

Description

a. Convert the MechBayes SEIRHD model to an SIRHD model by removing the E compartment. Compute the same six-week forecast that you had done in Question 1a and compare the accuracy of the six-week forecasts with the forecasts done in Question 1a.
b. Further modify the MechBayes SEIRHD model and do a model space exploration and model selection from the following models, based on comparing forecasts of cases and deaths to actual data: SEIRD, SEIRHD, and SIRHD models. Use data from April 1, 2020 – April 30, 2020 from the scenario location (Massachusetts) for fitting these models. Then make out-of-sample forecasts from the same 6-week period from May 1 – June 15, 2020, and compare with actual data. Comment on the quality of the fit for each of these models.
c. Do a 3-way structural model comparison between the SEIRD, SEIRHD, and SIRHD models.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files, tests, or entry points are named. Start by locating the existing MechBayes SEIRHD model and the Question 1a forecasting workflow, then review how SEIRD, SEIRHD, and SIRHD are represented. Done means supporting the requested model-space and structural comparisons, six-week forecasts, and comparisons with Massachusetts case and death data.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
analytics, data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
30/100

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