Skip to content

Fix prediction bugs for models with "non-default" random effects IDs which rely on a model_spec specification #256

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom
Merged
andrewherren merged 3 commits into from
Dec 15, 2025
Merged

Fix prediction bugs for models with "non-default" random effects IDs which rely on a model_spec specification #256

andrewherren merged 3 commits into from
Dec 15, 2025

Conversation

@andrewherren
Copy link
Collaborator

@andrewherren andrewherren commented Dec 15, 2025

No description provided.

@andrewherren andrewherren linked an issue Dec 15, 2025 that may be closed by this pull request
[BUG] Handle non-zero-indexed random effects labels for intercept_only and intercept_plus_treatment models in Python BART / BCF #251
Closed
@andrewherren andrewherren merged commit 096ceb6 into main Dec 15, 2025
18 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

No reviews

Assignees

No one assigned

Labels

None yet

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

[BUG] Handle non-zero-indexed random effects labels for intercept_only and intercept_plus_treatment models in Python BART / BCF

2 participants

@andrewherren