mcp
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lindeloev
Regression with Multiple Change Points
First, fantastic package! Thank you. When plotting the results of the model fit it can often be challenging to determine which posterior cp estimates (blue lines at bottom) correspond to...
mcp 2.0 will support `stan` in addition to JAGS. It is far out in the future but this issue collects working points. - [ ] Obviously, generate a `stan` model,...
The overview should include the yet-to-be-reviewed/tested packages mentioned at the top, and perhaps an additional example: https://lindeloev.github.io/mcp/articles/packages.html. Also update: - [ ] `strucchange::breakpoints` does take time series and returns confidence...
As raised in #115, #107, and elsewhere, users increasingly modify the `jags_code` generated by `mcp` but get stuck when introducing new variables. We should make it easier to do this....
The pkgdown banner doesn't link to the full list of functions in https://lindeloev.github.io/mcp/reference/
Include optional random effects for all parameters. [Here is a great guide for JAGS and stan](https://www.ling.uni-potsdam.de/~vasishth/JAGSStanTutorial/SorensenVasishthMay12014.pdf) Or add a varying slope too: list(y~ 1 + x, (1|id) ~ 0 +...
Hi! I was wondering if you could help me with this. When I run this code: model = list( acc | trials(N) ~ 1, 1 + (1|id) ~ 0 +...
Test accuracy of fits: - [ ] Add strong priors so that parameter estimates are (should be) altered considerably. - [ ] Validate parameter recovery in one-segment models against `rstanarm`,...
Family-specific functions are currently scattered over several locations in the code and dealt with in an if-else like fashion. This hard-coding of response families makes it harder to implement new...
As discussed in the last part of [this article](https://lindeloev.github.io/mcp/articles/predict.html) `mcp` can be "hacked" to model change points in regions with no data. This is useful when forecasting. A more user-friendly...