dbarts icon indicating copy to clipboard operation
dbarts copied to clipboard

Discrete Bayesian Additive Regression Trees Sampler

Results 42 dbarts issues
Sort by recently updated
recently updated
newest added

I'm trying to install dbarts with R 4.2.2 (and GCC 12.2.0, using [EasyBuild](https://easybuild.io)) on an AWS Arm-based VM, but on both Neoverse N1 and V1 CPUs I'm getting the following...

'predict' for bart models fails with an error message if a categorical variable has only one level in 'newdata' (which is common in our line of work). Here's a reproducible...

To implement BART models with hyperpriors on splitting probabilities, for example as in Linero (2018), it is necessary to update the splitting probability in each MCMC iteration. It would be...

``` ar rv ../dbarts.a bartFit.o binaryIO.o birthDeathRule.o changeRule.o functions.o likelihood.o node.o parameterPrior.o state.o swapRule.o tree.o treePrior.o ar: creating archive ../dbarts.a a - bartFit.o a - binaryIO.o a - birthDeathRule.o a...

I recently came across [this paper](https://onlinelibrary.wiley.com/doi/abs/10.1002/for.2587) that talks about how well BART performs with panel data. I always thought of BART as a cross sectional method. **Am I wrong?**. I...

``` R version 4.2.3 (2023-03-15) -- "Shortstop Beagle" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: powerpc-apple-darwin10.8.0 (32-bit) > Sys.unsetenv("R_TESTS") > if (require(testthat, quietly = TRUE)) { +...

Suppose we are fitting a normal BART model using a `dbarts` sampler and we know the true residual variance is equal to one. When I specify `resid.prior = fixed(1)`, it...

I'm curious if there is a good way to thin a `dbartsSampler` that exists a part of a larger custom MCMC. The existing `n.thin` argument to `dbartsControl` applies the thinning...

Thank you for the great work on **`dbarts`**! I've seen this behavior on multiple datasets and it seems counterintuitive; but I might be overlooking something: ````{r} ## example from function...

Hi, I've been working with the rbart_vi function and encountered an issue when making predictions with out-of-sample groups in the test. After reviewing the code, I've identified that the error...