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add nsaphx
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‎docs/_images/nsaphutils_logo.svg‎

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‎docs/_images/nsaphx_logo.svg‎

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‎docs/_sources/intro.md‎

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---
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**[pycausalgps](https://github.com/fasrc/pycausalgps/)**
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**[GPCERF](https://github.com/NSAPH-Software/GPCERF)**
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^^^
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```{figure} figures/svg/causalgps_logo_python.svg
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```{figure} figures/svg/gpcerf_logo.svg
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:height: 100px
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:name: pycausalgps
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:name: gpcerf
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```
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Matching on generalized propensity scores with continuous exposures (Python Package)
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Gaussian processes for the estimation of causal exposure-response curves (GPCERF)
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[![PyPI version](https://img.shields.io/pypi/v/pycausalgps.svg)](https://pypi.org/project/pycausalgps)
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[![](http://www.r-pkg.org/badges/version-last-release/GPCERF)](https://CRAN.R-project.org/package=GPCERF)
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[![R build status](https://github.com/NSAPH-Software/GPCERF/workflows/R-CMD-check/badge.svg?branch=develop)](https://github.com/NSAPH-Software/GPCERF/actions)
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[![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/grand-total/GPCERF)](http://www.r-pkg.org/pkg/gpcerf)
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[![codecov](https://codecov.io/gh/NSAPH-Software/GPCERF/branch/develop/graph/badge.svg?token=066ISL822N)](https://codecov.io/gh/NSAPH-Software/GPCERF)
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---
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**[CRE](https://github.com/NSAPH-Software/CRE/)**
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[![codecov](https://codecov.io/gh/NSAPH-Software/CRE/branch/develop/graph/badge.svg?token=UMSVOYRKGA)](https://codecov.io/gh/NSAPH-Software/CRE)
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---
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**[GPCERF](https://github.com/NSAPH-Software/GPCERF)**
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**[nsaphx](https://github.com/nsaph-software/nsaphx/)**
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^^^
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```{figure} figures/svg/gpcerf_logo.svg
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```{figure} figures/svg/nsaphx_logo.svg
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:height: 100px
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:name: gpcerf
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:name: nsaphx
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```
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Gaussian processes for the estimation of causal exposure-response curves (GPCERF)
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Reproducible Causal Inference Studies
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[![](http://www.r-pkg.org/badges/version-last-release/GPCERF)](https://CRAN.R-project.org/package=GPCERF)
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[![R build status](https://github.com/NSAPH-Software/GPCERF/workflows/R-CMD-check/badge.svg?branch=develop)](https://github.com/NSAPH-Software/GPCERF/actions)
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[![CRAN RStudio mirror downloads](https://cranlogs.r-pkg.org/badges/grand-total/GPCERF)](http://www.r-pkg.org/pkg/gpcerf)
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[![codecov](https://codecov.io/gh/NSAPH-Software/GPCERF/branch/develop/graph/badge.svg?token=066ISL822N)](https://codecov.io/gh/NSAPH-Software/GPCERF)
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[![PyPI version](https://img.shields.io/pypi/v/nsaphx.svg)](https://pypi.org/project/nsaphx)
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[![codecov](https://codecov.io/gh/NSAPH-Software/nsaphx/branch/develop/graph/badge.svg?token=8aSueNmHZN)](https://codecov.io/gh/NSAPH-Software/nsaphx)
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[![Test Status](https://github.com/nsaph-software/pycausalgps/workflows/Python%20package/badge.svg?branch=develop&event=push)](https://github.com/nsaph-software/pycausalgps/actions)
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---
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**[CCIT](https://github.com/NSAPH-Software/CCIT)**
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---
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**[pycausalgps](https://github.com/nsaph-software/pycausalgps/)**
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^^^
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```{figure} figures/svg/place_holder.svg
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```{figure} figures/svg/causalgps_logo_python.svg
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:height: 100px
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:name: ccit
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:name: pycausalgps
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```
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Continuous Causal Interaction Tree
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[![](http://www.r-pkg.org/badges/version-last-release/CCIT)](http://www.r-pkg.org/pkg/ccit)
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Matching on generalized propensity scores with continuous exposures (Python Package)
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[![PyPI version](https://img.shields.io/pypi/v/pycausalgps.svg)](https://pypi.org/project/pycausalgps)
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---
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**[NSAPHUtils](https://github.com/NSAPH-Software/NSAPHutils)**
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**[CCIT](https://github.com/NSAPH-Software/CCIT)**
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^^^
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```{figure} figures/svg/nsaphutils_logo.svg
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```{figure} figures/svg/place_holder.svg
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:height: 100px
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:name: nsaphutils
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:name: ccit
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```
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Utility R functions and tools for working with data in NSAPH research
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Continuous Causal Interaction Tree
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[![](http://www.r-pkg.org/badges/version-last-release/CCIT)](http://www.r-pkg.org/pkg/ccit)
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````

‎docs/intro.html‎

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<div class="d-flex col-lg-4 px-4 py-3 docutils">
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<div class="card w-100 docutils">
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<div class="card-header docutils">
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<p class="card-text"><strong><a class="reference external" href="https://github.com/fasrc/pycausalgps/">pycausalgps</a></strong></p>
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<p class="card-text"><strong><a class="reference external" href="https://github.com/NSAPH-Software/GPCERF">GPCERF</a></strong></p>
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</div>
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<div class="card-body docutils">
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<div class="figure align-default" id="pycausalgps">
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<a class="reference internal image-reference" href="_images/causalgps_logo_python.svg"><img alt="_images/causalgps_logo_python.svg" height="100px" src="_images/causalgps_logo_python.svg" /></a>
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<div class="figure align-default" id="gpcerf">
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<a class="reference internal image-reference" href="_images/gpcerf_logo.svg"><img alt="_images/gpcerf_logo.svg" height="100px" src="_images/gpcerf_logo.svg" /></a>
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<p class="card-text">Matching on generalized propensity scores with continuous exposures (Python Package)</p>
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<p class="card-text"><a class="reference external" href="https://pypi.org/project/pycausalgps"><img alt="PyPI version" src="https://img.shields.io/pypi/v/pycausalgps.svg" /></a></p>
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<p class="card-text">Gaussian processes for the estimation of causal exposure-response curves (GPCERF)</p>
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<p class="card-text"><a class="reference external" href="https://CRAN.R-project.org/package=GPCERF"><img alt="" src="http://www.r-pkg.org/badges/version-last-release/GPCERF" /></a>
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<a class="reference external" href="https://github.com/NSAPH-Software/GPCERF/actions"><img alt="R build status" src="https://github.com/NSAPH-Software/GPCERF/workflows/R-CMD-check/badge.svg?branch=develop" /></a>
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<a class="reference external" href="http://www.r-pkg.org/pkg/gpcerf"><img alt="CRAN RStudio mirror downloads" src="https://cranlogs.r-pkg.org/badges/grand-total/GPCERF" /></a>
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<a class="reference external" href="https://codecov.io/gh/NSAPH-Software/GPCERF"><img alt="codecov" src="https://codecov.io/gh/NSAPH-Software/GPCERF/branch/develop/graph/badge.svg?token=066ISL822N" /></a></p>
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</div>
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<div class="d-flex col-lg-4 px-4 py-3 docutils">
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<p class="card-text"><strong><a class="reference external" href="https://github.com/NSAPH-Software/GPCERF">GPCERF</a></strong></p>
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<p class="card-text"><strong><a class="reference external" href="https://github.com/nsaph-software/nsaphx/">nsaphx</a></strong></p>
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<div class="card-body docutils">
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<div class="figure align-default" id="gpcerf">
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<a class="reference internal image-reference" href="_images/gpcerf_logo.svg"><img alt="_images/gpcerf_logo.svg" height="100px" src="_images/gpcerf_logo.svg" /></a>
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<div class="figure align-default" id="nsaphx">
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<a class="reference internal image-reference" href="_images/nsaphx_logo.svg"><img alt="_images/nsaphx_logo.svg" height="100px" src="_images/nsaphx_logo.svg" /></a>
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<p class="card-text">Gaussian processes for the estimation of causal exposure-response curves (GPCERF)</p>
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<p class="card-text"><a class="reference external" href="https://CRAN.R-project.org/package=GPCERF"><img alt="" src="http://www.r-pkg.org/badges/version-last-release/GPCERF" /></a>
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<a class="reference external" href="https://github.com/NSAPH-Software/GPCERF/actions"><img alt="R build status" src="https://github.com/NSAPH-Software/GPCERF/workflows/R-CMD-check/badge.svg?branch=develop" /></a>
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<a class="reference external" href="http://www.r-pkg.org/pkg/gpcerf"><img alt="CRAN RStudio mirror downloads" src="https://cranlogs.r-pkg.org/badges/grand-total/GPCERF" /></a>
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<a class="reference external" href="https://codecov.io/gh/NSAPH-Software/GPCERF"><img alt="codecov" src="https://codecov.io/gh/NSAPH-Software/GPCERF/branch/develop/graph/badge.svg?token=066ISL822N" /></a></p>
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<p class="card-text">Reproducible Causal Inference Studies</p>
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<p class="card-text"><a class="reference external" href="https://pypi.org/project/nsaphx"><img alt="PyPI version" src="https://img.shields.io/pypi/v/nsaphx.svg" /></a>
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<a class="reference external" href="https://codecov.io/gh/NSAPH-Software/nsaphx"><img alt="codecov" src="https://codecov.io/gh/NSAPH-Software/nsaphx/branch/develop/graph/badge.svg?token=8aSueNmHZN" /></a>
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<a class="reference external" href="https://github.com/nsaph-software/pycausalgps/actions"><img alt="Test Status" src="https://github.com/nsaph-software/pycausalgps/workflows/Python%20package/badge.svg?branch=develop&amp;event=push" /></a></p>
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<p class="card-text"><strong><a class="reference external" href="https://github.com/NSAPH-Software/CCIT">CCIT</a></strong></p>
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<p class="card-text"><strong><a class="reference external" href="https://github.com/nsaph-software/pycausalgps/">pycausalgps</a></strong></p>
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<div class="figure align-default" id="ccit">
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<a class="reference internal image-reference" href="_images/place_holder.svg"><img alt="_images/place_holder.svg" height="100px" src="_images/place_holder.svg" /></a>
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<div class="figure align-default" id="pycausalgps">
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<a class="reference internal image-reference" href="_images/causalgps_logo_python.svg"><img alt="_images/causalgps_logo_python.svg" height="100px" src="_images/causalgps_logo_python.svg" /></a>
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<p class="card-text">Continuous Causal Interaction Tree</p>
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<p class="card-text"><a class="reference external" href="http://www.r-pkg.org/pkg/ccit"><img alt="" src="http://www.r-pkg.org/badges/version-last-release/CCIT" /></a></p>
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<p class="card-text">Matching on generalized propensity scores with continuous exposures (Python Package)</p>
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<p class="card-text"><a class="reference external" href="https://pypi.org/project/pycausalgps"><img alt="PyPI version" src="https://img.shields.io/pypi/v/pycausalgps.svg" /></a></p>
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<p class="card-text"><strong><a class="reference external" href="https://github.com/NSAPH-Software/NSAPHutils">NSAPHUtils</a></strong></p>
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<p class="card-text"><strong><a class="reference external" href="https://github.com/NSAPH-Software/CCIT">CCIT</a></strong></p>
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<div class="figure align-default" id="nsaphutils">
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<a class="reference internal image-reference" href="_images/nsaphutils_logo.svg"><img alt="_images/nsaphutils_logo.svg" height="100px" src="_images/nsaphutils_logo.svg" /></a>
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<div class="figure align-default" id="ccit">
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<a class="reference internal image-reference" href="_images/place_holder.svg"><img alt="_images/place_holder.svg" height="100px" src="_images/place_holder.svg" /></a>
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<p class="card-text">Utility R functions and tools for working with data in NSAPH research</p>
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<p class="card-text">Continuous Causal Interaction Tree</p>
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‎docs/objects.inv‎

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