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Initial release of sampleselection 0.1.2
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‎.Rbuildignore‎

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^sampleselection\.Rproj$
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^\.Rproj\.user$
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^\.DS_Store$
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^\.github$
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^\.gitignore$
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^docs$
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^examples$
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^CONTRIBUTING\.md$
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^NEWS\.md$

‎.github/workflows/R-CMD-check.yaml‎

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on:
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push:
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branches: [main, master]
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pull_request:
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name: R-CMD-check
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permissions: read-all
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jobs:
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R-CMD-check:
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runs-on: ${{ matrix.config.os }}
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name: ${{ matrix.config.os }} (R ${{ matrix.config.r }})
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strategy:
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fail-fast: false
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matrix:
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config:
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- {os: macos-latest, r: 'release'}
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- {os: windows-latest, r: 'release'}
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- {os: ubuntu-latest, r: 'devel', http-user-agent: 'release'}
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- {os: ubuntu-latest, r: 'release'}
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- {os: ubuntu-latest, r: 'oldrel-1'}
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env:
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GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
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R_KEEP_PKG_SOURCE: yes
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steps:
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- uses: actions/checkout@v6
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- uses: r-lib/actions/setup-pandoc@v2
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- uses: r-lib/actions/setup-r@v2
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with:
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r-version: ${{ matrix.config.r }}
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http-user-agent: ${{ matrix.config.http-user-agent }}
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use-public-rspm: true
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- uses: r-lib/actions/setup-r-dependencies@v2
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with:
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extra-packages: any::rcmdcheck
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needs: check
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- uses: r-lib/actions/check-r-package@v2
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with:
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upload-snapshots: true

‎.gitignore‎

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.Rhistory
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.RData
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.Ruserdata
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.Rproj.user/
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*.Rcheck/
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*.tar.gz
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.DS_Store

‎CONTRIBUTING.md‎

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# 参与贡献
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欢迎通过 Issue 报告问题，或通过 Pull Request 改进代码和文档。
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报告问题时，建议附上：
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- `sessionInfo()` 的输出；
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- 可以重现问题的最小示例，优先使用 `simulate_sample_data()`；
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- 完整报错信息；
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- 预期行为与实际行为。
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请勿上传包含个人信息、商业秘密或未经脱敏的真实研究数据。
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提交代码前，请在包目录的上一级运行：
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```r
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R CMD build sampleselection
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R CMD check sampleselection_*.tar.gz --no-manual
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```

‎DESCRIPTION‎

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Package: sampleselection
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Type: Package
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Title: Sample Selection Demonstrations for Regression Teaching
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Version: 0.1.2
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Authors@R: person("YuLi", role = c("aut", "cre"),
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email = "36653380+JINGYIYIYIYI@users.noreply.github.com")
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Description: Provides reusable functions that demonstrate how outcome-driven
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observation deletion or downweighting can alter regression conclusions.
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The package supports fixed effects, clustered standard errors, multiple
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coefficient targets, interactions, instrumental variables, transformations,
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winsorization, simulated teaching data, case extraction, model refitting,
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and explicit exports. It is
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intended solely for research-methods teaching and must not be used to select
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samples for substantive empirical research.
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License: MIT + file LICENSE
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URL: https://github.com/JINGYIYIYIYI/sampleselection
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BugReports: https://github.com/JINGYIYIYIYI/sampleselection/issues
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Encoding: UTF-8
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Depends: R (>= 4.1.0)
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Imports:
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fixest
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Suggests:
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haven,
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testthat (>= 3.0.0)
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Config/testthat/edition: 3
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Roxygen: list(markdown = TRUE)
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RoxygenNote: 7.3.3

‎LICENSE‎

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YEAR: 2026
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COPYRIGHT HOLDER: YuLi

‎NAMESPACE‎

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# Generated by roxygen2: do not edit by hand
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S3method(print,auto_sample_search_result)
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S3method(print,sample_selection_trials)
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export(auto_sample_search)
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export(best_case)
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export(export_search_result)
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export(extract_case_data)
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export(format_search_results)
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export(refit_case)
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export(simulate_sample_data)

‎NEWS.md‎

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# sampleselection 0.1.2
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- 新增 `simulate_sample_data()`，所有教程均改用模拟数据。
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- 改进搜索结果的打印格式，使用中文列名和易读的 p 值。
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- 新增 `format_search_results()`，便于生成适合查看或导出的结果表。
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- 新增完整中文教程、参数说明、进阶示例和常见问题。
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- 新增 GitHub Actions 多平台 R CMD check。
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# sampleselection 0.1.1
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- 将原 Shiny 工作流整理为可重复调用的 R 函数。
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- 增加案例提取、重新估计和结果导出功能。
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# sampleselection 0.1.0
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- 首个包版本。

‎R/package.R‎

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#' sampleselection: Sample Selection Demonstrations for Regression Teaching
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#'
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#' `sampleselection` provides a reusable function interface for demonstrating
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#' how outcome-driven observation deletion or downweighting can change
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#' regression conclusions. It is intended only for research-methods teaching.
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#'
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#' @section Ethical use:
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#' Do not use search results from this package to select samples for papers,
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#' referee responses, or substantive robustness analyses. Sample rules for real
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#' research should be fixed before results are inspected.
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#'
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#' @keywords internal
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"_PACKAGE"

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