> ## Documentation Index
> Fetch the complete documentation index at: https://kstats.oremif.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Installation

> Add kstats to a Gradle KTS project with the BOM or individual module dependencies.

kstats is published to Maven Central under `org.oremif`. The current version is `0.5.0`.

## Gradle KTS Setup

<Tabs>
  <Tab title="BOM (recommended)">
    The BOM keeps every module aligned to the same version. List only the modules the project needs.

    ```kotlin theme={"system"}
    dependencies {
        implementation(platform("org.oremif:kstats-bom:0.5.0"))

        implementation("org.oremif:kstats-core")
        implementation("org.oremif:kstats-distributions")
        implementation("org.oremif:kstats-hypothesis")
        implementation("org.oremif:kstats-correlation")
        implementation("org.oremif:kstats-sampling")
    }
    ```
  </Tab>

  <Tab title="Single module">
    For projects that need only one module, specify the version directly.

    ```kotlin theme={"system"}
    dependencies {
        implementation("org.oremif:kstats-core:0.5.0")
    }
    ```
  </Tab>

  <Tab title="KMP commonMain">
    In a Kotlin Multiplatform project, declare dependencies inside `commonMain`.

    ```kotlin theme={"system"}
    kotlin {
        sourceSets {
            commonMain.dependencies {
                implementation(project.dependencies.platform("org.oremif:kstats-bom:0.5.0"))

                implementation("org.oremif:kstats-core")
                implementation("org.oremif:kstats-distributions")
            }
        }
    }
    ```
  </Tab>
</Tabs>

## Module Map

| Module                 | Covers                                                         | Depends on             |
| ---------------------- | -------------------------------------------------------------- | ---------------------- |
| `kstats-core`          | Descriptive statistics, math utilities, validation, exceptions | —                      |
| `kstats-distributions` | 18 continuous + 10 discrete probability distributions          | `kstats-core`          |
| `kstats-hypothesis`    | Parametric, non-parametric, normality, and categorical tests   | `kstats-distributions` |
| `kstats-correlation`   | Correlation coefficients, matrices, simple linear regression   | `kstats-distributions` |
| `kstats-sampling`      | Ranking, normalization, binning, bootstrap, weighted sampling  | `kstats-core`          |

```mermaid theme={"system"}
graph TD
    A[kstats-core] --> B[kstats-distributions]
    B --> C[kstats-hypothesis]
    B --> D[kstats-correlation]
    A --> E[kstats-sampling]
```

<Tip>
  Start with `kstats-core` for descriptive summaries. Add `kstats-distributions` when probability models are needed, and `kstats-hypothesis` or `kstats-correlation` when the analysis moves into inference. Use the BOM as soon as the project depends on more than one module.
</Tip>

## Next Steps

<CardGroup cols={2}>
  <Card title="Quick Start" icon="play" href="/getting-started/quickstart">
    Run the first analysis with examples across all modules.
  </Card>

  <Card title="Supported Targets" icon="layers" href="/getting-started/introduction#supported-targets">
    See the full list of Kotlin Multiplatform targets.
  </Card>
</CardGroup>