mcp
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lindeloev
Regression with Multiple Change Points
- [ ] Anything `which_y` / `dpar`. - [ ] `int_1` vs. `Intercept_1`. Consider reversing. - [ ] rel() - [ ] fit$simulate() without `mcpfit` as first arg.
With regards to "families and link functions", can you please add a gamma function?
BUGS / VERIFY: - [x] Fix prior predictive is accurate and is plotted correctly? - [x] multiple: sim and match: not necessarily applicable? (though I think they are) - [x]...
Many of the remaining words in `spelling::spell_check_package()` requires quoting in the documentation. Go through them and update docs and `inst/WORDLIST` as appropriate.
There should be a seed-argument for all functions involving randomness cf this question (and comment-answer) on StackOverflow: https://stackoverflow.com/questions/73416610/why-is-set-seed-not-working-for-mcp-r-package Suggested behavior for `mcp()`: * `mcp(..., seed = 42)` sets a seed...
Extract Additional Intercepts/Priors Hi, I am loving this package, allowing great flexibility to model some behaviors in neonatal ungulates. I had a couple questions: 1. For models with joined intercepts,...
Each segment should take an arbitrary number of linear predictors. As with the `segmented` package, the only requirement is that one continuous predictor (say, `x`) is the dimension of the...
mcp Version 0.3.2 dplyr Version 1.0.8 When trying to plot a large fitted mcpfit object, I'm running into this error: `Error` in `dplyr::mutate()`: ! Problem while computing `fitted = rlang::exec(...)`....
- [ ] `fit$simulate(fit, data, ...)` apparently doesn't respect the link function in the family? Try e.g. simulating from `mcp_example("demo")` with another link function. - [ ] Try `mcp_example("demo")` with...
Please add the possibility of using weighted cases. - sometimes you have weighted data and you just can't help it - sometimes you have a large dataset and it is...
