-
See reprex below. In my real codebase I'm using `furrr`'s `future_map` for other purposes (reading a series of files off disk).
```
library(fable)
#> Loading required package: fabletools
l…
-
(I don't see an issue, but I thought it was mentioned before.)
Stata has accelerated failure time and proportional hazard parametric survival models. Implementing those is a GSOC idea that doesn't …
-
From a cursory glance at the R-INLA API the distribution functions for posterior marginals seem like one place to start: https://becarioprecario.bitbucket.io/inla-gitbook/ch-INLA.html#sec:marginals
…
-
Hi,
In our ML tasks, the problem of scale is often defined by num_of_training_samples by num_of_validation_samples. Our GPUs currently has 40~80 GB memory per card, which could handle problem of s…
-
Continued from https://github.com/easystats/effectsize/issues/344 - does the mediator need to be scaled for direct and indirect effects to be on the same scale (as is currently warned by `bayestestR::…
-
score tests are doing quite well overall, score confidence intervals are emphasized in some of the two sample proportion comparisons and are doing also reasonably well for medium sample sizes.
Calcul…
-
Amazing package here, thanks!
I really appreciate the design of extendable models which is so nicely described in your vignette.
It seems that it should also be possible to extend the set of s…
-
Submitting Author Name: Pacha
Submitting Author Github Handle: @pachadotdev
Repository: https://github.com/pachadotdev/capybara
Version submitted: 0.2.5 (initially)
Submission type: Stats
Bad…
-
I can't seem to figure out how to add arguments to `feat_stl` when it is used inside of `features()`. I would expect an anonymous function to work, but it doesn't.
## Reprex:
``` r
library(fable…
-
**Describe the bug**
I am using a staged installation in an R package I am developing (using the machinery of `instantiate`). When I use `cmdstanr::cmdstan_model` without the additional argument `com…