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Vignette explaining model #64
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Yes good idea. I see this as part of scoping documentation (i.e do now/soon) vs help for a user (i.e do later/never).
These parts of the exercise seem particularly useful from a design perspective.
There is also a description in the Ward et al. paper that Park et a. cites but I find the former easier to follow/more correct |
At the moment I think working this is a priority for me as I'm finding I'm blocked on things like "implement different delay distribution" and "implement stratified (space/sex) example" by my limited understanding of the model. I am also finding this to be important scoping documentation as Sam suggests, including for things like post-processing. More broadly I think it's quite important for me to understand where we are with |
Yes makes sense |
@parksw3 do you think this is something you'll have a chance to have a go at this week? |
Yes, I'll look at it today. Sorry for the delay. Had to prepare a presentation for today and didn't get a chance to get to this. |
I've made some progress. Wasn't sure if I should make a pull request yet or not so commenting here for now. Let's discuss tomorrow and will do more work. I also realized that we don't need latent variables for the secondary events and not sure how none of us noticed this earlier???? |
Nice. Could throw up a draft PR for @athowes to take a gander at.
LOL. I feel like we noticed the distribution didn't matter and then took no further action... |
@SamuelBrand1 fancy acting as a notation reviewer for this as @parksw3 did on your write up? |
* vignette in a new branch * tweak * Add a news entry * add some fluff text, grammar, linting * remove commented out text * Update model.Rmd * run precommit locally * Update model.Rmd * Update model.Rmd * Update lint-changed-files.yaml --------- Co-authored-by: Sam Abbott <[email protected]> Co-authored-by: Sam Abbott <[email protected]>
Goal
This issue is for creation of a vignette going into greater detail about the model
latent_truncation_censoring_adjusted_delay
.Context
The
epidist
package focuses on a particular statistical model. How the model works is quite complex, and likely to be challenging to understand. However, better understanding of the model is likely to lead to better use of the package. Furthermore, there is scope for the model structure to be altered in specific ways within the remit ofepidst
by usingbrms
formula interface. Users looking to make use of this functionality will likely need some kind of tutorial, and will particularly benefit from a good understanding of the model structure and implementation.Required features
.Rmd
explaining thelatent_truncation_censoring_adjusted_delay
statistical modelRelated documents
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