---
title: "Support Matrix"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Support Matrix}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r setup, include = FALSE}
knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
library(ggpower)
```

## Coverage table

Every registered test with domain, module, parity, method, and supported modes:

```{r matrix}
tests <- ggpower_tests()
knitr::kable(
  tests[, c("id", "module", "domain", "family", "parity", "method", "modes")],
  row.names = FALSE
)
```

## Counts by module

```{r counts}
as.data.frame(table(tests$module))
```

## Mode restrictions

| Test | Supported modes |
|------|-----------------|
| `t_generic` | `post_hoc`, `criterion`, `sensitivity`, `compromise` (no `a_priori`) |
| `simon_two_stage` | `post_hoc`, `sensitivity` only |

## Vignette index

CRAN ships consolidated vignettes; the pkgdown site adds per-test deep dives.

```{r links, echo=FALSE}
vignette_map <- data.frame(
  module = c(
    rep("getting started", 3), rep("workspace", 2), rep("biomarker", 1),
    rep("clinical", 1), rep("reference", 3)
  ),
  article = c(
    "choosing-a-power-analysis", "getting-started-gui", "scenario-guide",
    "t-tests", "workspace-test-families",
    "biomarker-endpoints", "clinical-trials",
    "analysis-modes", "support-matrix", "reference-validation"
  ),
  stringsAsFactors = FALSE
)
knitr::kable(vignette_map, col.names = c("Module area", "Vignette slug"))
```

Approximation limits and method notes: [approximation catalog](https://yaoxiangli.github.io/ggpower/articles/approximation-catalog.html) (pkgdown only).

## Related analyses

- [Reference validation](reference-validation.html)
- [Scenario guide](scenario-guide.html)
- [Formula reference](https://yaoxiangli.github.io/ggpower/articles/formula-reference.html) (pkgdown only)