Coverage map

This page is a feature-area map of the test suite (not the line-by-line HTML coverage report).

• HTML coverage report: see Coverage (links to docs/coverage/)
• Source map: tests/testthat/COVERAGE_MAP.md

Map (feature areas → tests)

Legend

• ✅ Covered
• ⚠️ Partial coverage
• ❌ Not covered / Missing
• 🔧 Needs refactoring

Kernel library (d/p/q/r)

Feature	Test file	Status
Mix d/p/q/r functions	test-kernels.R	✅
Mix+GPD splice behavior	test-kernels.R	✅
Scalar+GPD behavior	test-kernels.R	✅
Roundtrip q(p) → p(q)	test-kernels.R	✅
Edge cases (bounds, NA)	test-kernels.R	⚠️ Some covered

Bundle build layer

Feature	Test file	Status
Spec validation	test-bundle.R	✅
CRP vs SB code assembly	test-dispatch-separation.R	✅
Kernel registry	test-smoke-core-workflows.R	✅
Input validation errors	test-bundle.R	✅
Conditional (with X)	test-smoke-core-workflows.R	✅
GPD flag handling	test-smoke-core-workflows.R	✅

MCMC run layer

Feature	Test file	Status
Compile + run returns structure	Per-kernel tests (test-normal.R, etc.)	✅
SB backend workflows	Per-kernel tests	✅
CRP backend workflows	Per-kernel tests	✅
GPD vs non-GPD	Per-kernel tests	✅
Conditional vs unconditional	Per-kernel tests	✅
Caching behavior	helper-cache.R (infrastructure)	⚠️ Indirect

Prediction layer

Feature	Test file	Status
type="mean"	test-predict-unconditional.R, helper-predict-distribution.R	✅
type="median"	test-predict-unconditional.R	✅
type="quantile"	test-predict-contracts.R, helper-predict-distribution.R	✅
type="sample"	helper-predict-distribution.R	✅
type="density"	helper-predict-distribution.R	✅
type="survival"	helper-predict-distribution.R	✅
Conditional x/newdata contracts	test-predict-contracts.R	✅
Parallel ncores determinism	test-predict-contracts.R	✅
Credible intervals	test-predict-contracts.R	✅

S3 methods & UX

Note: fitted.mixgpd_fit and residuals.mixgpd_fit are conditional-only (covariate models).

Feature	Test file	Status
print.mixgpd_fit	helper-predict-distribution.R	✅
summary.mixgpd_fit	helper-predict-distribution.R	✅
plot.mixgpd_fit	helper-predict-distribution.R	✅
fitted.mixgpd_fit (conditional only)	test-fitted.R, test-hpd-intervals.R	✅
residuals.mixgpd_fit (raw; conditional only)	test-fitted.R	✅
residuals.mixgpd_fit (PIT; conditional only)	helper-predict-distribution.R when has_X	✅
plot.mixgpd_predict	test-predict-unconditional.R	✅
plot.mixgpd_fitted	test-fitted.R	✅
params() extractor	test-fitted.R, test-causal-predict.R	✅

Causal inference

Feature	Test file	Status
build_causal_bundle	test-smoke-core-workflows.R, test-causal.R	✅
run_mcmc_causal	test-causal.R	✅
PS models: logit/probit/naive/disabled	test-causal.R	✅
Mixed backends (trt/con)	test-causal.R	✅
cate() / cqte()	test-causal.R	✅
ate() / qte()	test-causal.R	✅
att() / qtt()	test-causal.R	✅
Credible intervals	test-causal.R	✅

Keep this map up to date

When adding or moving tests, update tests/testthat/COVERAGE_MAP.md and (optionally) mirror key rows here.

Prereqs

• Required packages and data for this page are listed in the setup chunks above.

Outputs

• This page renders model fits, diagnostics, and summary artifacts generated by package APIs.

Interpretation

• Canonical concept page: Spec And Contracts
• Treat this page as an application/example view and use the canonical page for core definitions.

Next

• Continue to the linked canonical concept page, then return for implementation-specific details.