Sam Brilleman

Results 15 issues of Sam Brilleman

#### Summary: Struggling to build rstanarm from source. I'm trying to bring the latest changes from `master` into the `feature/survival` branch and then build the package on Windows using R...

I think this is pretty much ready for a pull request. R CMD check seems to passing without any obvious issues. I've added the **splines2** package to Imports, and the...

#### Summary: I'm trying to build the `feature/survival` branch from source, using "Install and Restart" in the RStudio console for the `rstanarm.Rproj` R project. But after taking forever (some time...

#### Summary: For `stan_surv` models the `id` column in the data frame returned by `posterior_survfit()` represents the row of the covariate data that the predictions "belong" to. But the `id`...

survival

#### Summary: `posterior_survfit` fails for `stan_surv` models when predicting for new groups (i.e. levels of the random effect) and the original grouping factor in the model was a `character` or...

survival

#### Summary: The intercept is back-transformed by `dot_product(xbar, beta)` even when `prior_PD = TRUE`. #### Description: When `prior_PD = TRUE` the covariates have no impact on the model fitting. Yet...

Intended to fix #479 for stan_surv models at least.

#### Summary: A `stan_surv` model with `prior_PD = TRUE` still has an implicit prior for `prior_intercept` that is shifted by a data dependent quantity (the log crude event rate). Even...

survival

I'm opening this issue so there is a forum in which to discuss progress on getting survival models into **rstanarm**. I've started a new survival branch [here](https://github.com/stan-dev/rstanarm/tree/survival). It currently has...

feature

#### Summary: `stan_mvmer` fails when two grouping factors are specified both with just a random intercept. #### Reproducible Steps: The following model fails: ```dat = lme4::cbpp dat$herd2[dat$herd %in% 1:5] =...

joint models