trendbreaker
trendbreaker copied to clipboard
Analysing epidemic trends using AutoML approaches.
As I understand trendbreaker is designed for the analysis of count time series. Thus `lm` (with its assumption of normal distribution, with support `[-Inf, Inf]`) shouldn't be used.
While looking at a special case, I found outlier detection is not deterministic. In the code below, `asmodee` is applied 100 times to the same time series, but only a...
Maybe useful, but not a priority at the moment
Before using them. Otherwise trigger an error. For `brms` and `MASS`.
Currently if an unquoted argument is given for the `family` parameter the formula in the resulting model is the entire function call. Borrowing from the glm code we can get...
See here: https://stats.stackexchange.com/a/14109
When using more than one metric the column sorting in the leaderboard is not stable. Thus the best model is not selected by the first metric specified by the user...
Everything works great, just 2 minor suggested improvements to make users' lives easier: - You have custom error catching if `max_k` is too large in `asmodee()` , would be nice...
Would be nice to include that for testing, but compiling the model takes too much time for regular testing. Maybe we can add a larger integration test similiar to the...