
cran.rstudio.com/web/packages/causalBatch/index.html
Preview meta tags from the cran.rstudio.com website.
Linked Hostnames
4Thumbnail

Search Engine Appearance
causalBatch: Causal Batch Effects
Software which provides numerous functionalities for detecting and removing group-level effects from high-dimensional scientific data which, when combined with additional assumptions, allow for causal conclusions, as-described in our manuscripts Bridgeford et al. (2024) <<a href="https://doi.org/10.1101%2F2021.09.03.458920" target="_top">doi:10.1101/2021.09.03.458920</a>> and Bridgeford et al. (2023) <<a href="https://doi.org/10.48550%2FarXiv.2307.13868" target="_top">doi:10.48550/arXiv.2307.13868</a>>. Also provides a number of useful utilities for generating simulations and balancing covariates across multiple groups/batches of data via matching and propensity trimming for more than two groups.
Bing
causalBatch: Causal Batch Effects
Software which provides numerous functionalities for detecting and removing group-level effects from high-dimensional scientific data which, when combined with additional assumptions, allow for causal conclusions, as-described in our manuscripts Bridgeford et al. (2024) <<a href="https://doi.org/10.1101%2F2021.09.03.458920" target="_top">doi:10.1101/2021.09.03.458920</a>> and Bridgeford et al. (2023) <<a href="https://doi.org/10.48550%2FarXiv.2307.13868" target="_top">doi:10.48550/arXiv.2307.13868</a>>. Also provides a number of useful utilities for generating simulations and balancing covariates across multiple groups/batches of data via matching and propensity trimming for more than two groups.
DuckDuckGo
causalBatch: Causal Batch Effects
Software which provides numerous functionalities for detecting and removing group-level effects from high-dimensional scientific data which, when combined with additional assumptions, allow for causal conclusions, as-described in our manuscripts Bridgeford et al. (2024) <<a href="https://doi.org/10.1101%2F2021.09.03.458920" target="_top">doi:10.1101/2021.09.03.458920</a>> and Bridgeford et al. (2023) <<a href="https://doi.org/10.48550%2FarXiv.2307.13868" target="_top">doi:10.48550/arXiv.2307.13868</a>>. Also provides a number of useful utilities for generating simulations and balancing covariates across multiple groups/batches of data via matching and propensity trimming for more than two groups.
General Meta Tags
9- titleCRAN: Package causalBatch
- Content-Typetext/html; charset=utf-8
- viewportwidth=device-width, initial-scale=1.0, user-scalable=yes
- citation_titleCausal Batch Effects [R package causalBatch version 1.3.0]
- citation_authorEric W. Bridgeford
Open Graph Meta Tags
5- og:titlecausalBatch: Causal Batch Effects
- og:descriptionSoftware which provides numerous functionalities for detecting and removing group-level effects from high-dimensional scientific data which, when combined with additional assumptions, allow for causal conclusions, as-described in our manuscripts Bridgeford et al. (2024) <<a href="https://doi.org/10.1101%2F2021.09.03.458920" target="_top">doi:10.1101/2021.09.03.458920</a>> and Bridgeford et al. (2023) <<a href="https://doi.org/10.48550%2FarXiv.2307.13868" target="_top">doi:10.48550/arXiv.2307.13868</a>>. Also provides a number of useful utilities for generating simulations and balancing covariates across multiple groups/batches of data via matching and propensity trimming for more than two groups.
- og:imagehttps://CRAN.R-project.org/CRANlogo.png
- og:typewebsite
- og:urlhttps://CRAN.R-project.org/package=causalBatch
Twitter Meta Tags
1- twitter:cardsummary
Link Tags
2- canonicalhttps://CRAN.R-project.org/package=causalBatch
- stylesheet../../CRAN_web.css
Links
9- https://CRAN.R-project.org/package=causalBatch
- https://CRAN.R-project.org/src/contrib/Archive/causalBatch
- https://doi.org/10.1101%2F2021.09.03.458920
- https://doi.org/10.32614/CRAN.package.causalBatch
- https://doi.org/10.48550%2FarXiv.2307.13868