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latenetwork

The latenetwork package provides tools for causal inference under noncompliance with treatment assignment and network interference of unknown form. The methods are developed by Hoshino and Yanagi (2023) https://arxiv.org/abs/2108.07455 .

https://github.com/tkhdyanagi/latenetwork

Science Score: 26.0%

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Keywords

econometrics r r-package r-stats
Last synced: 11 months ago · JSON representation

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The latenetwork package provides tools for causal inference under noncompliance with treatment assignment and network interference of unknown form. The methods are developed by Hoshino and Yanagi (2023) https://arxiv.org/abs/2108.07455 .

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
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Topics
econometrics r r-package r-stats
Created over 3 years ago · Last pushed almost 3 years ago
Metadata Files
Readme Changelog License

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# latenetwork: Inference on LATEs under Network Interference of Unknown Form




The **latenetwork** package provides tools for causal inference 
under noncompliance with treatment assignment and 
network interference of unknown form.
The package enables to implement the instrumental variables (IV)
estimation for the local average treatment effect (LATE) type parameters 
via inverse probability weighting (IPW) using
the concept of instrumental exposure mapping (IEM)
and the framework of approximate neighborhood interference (ANI).
For more details,
see [Hoshino and Yanagi (2023) "Causal inference with noncompliance and unknown interference"](https://doi.org/10.48550/arXiv.2108.07455).

## Installation

Get the package from CRAN:

```{r, eval = F, echo = T}
install.packages("latenetwork")
```

or from GitHub:

```{r, eval = F, echo = T}
# install.packages("devtools") # if needed
devtools::install_github("tkhdyanagi/latenetwork", build_vignettes = TRUE)
```

## Vignettes

For more details, see the package vignettes with:

```{r, eval = FALSE}
library("latenetwork")

# Getting Started with the latenetwork Package
vignette("latenetwork")

# Review of Causal Inference with Noncompliance and Unknown Interference
vignette("review", package = "latenetwork")
```

## References

- Hoshino, T. and Yanagi, T., 2023. 
Causal inference with noncompliance and unknown interference. 
arXiv preprint arXiv:2108.07455.
[Link](https://doi.org/10.48550/arXiv.2108.07455)

Owner

  • Name: Takahide Yanagi
  • Login: tkhdyanagi
  • Kind: user
  • Location: Japan
  • Company: Kyoto University

Econometircs and Causal Inference

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  • Total packages: 1
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    • cran 200 last-month
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  • Total versions: 1
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cran.r-project.org: latenetwork

Inference on LATEs under Network Interference of Unknown Form

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 200 Last month
Rankings
Forks count: 28.4%
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Stargazers count: 35.0%
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Average: 43.2%
Downloads: 88.6%
Maintainers (1)
yanagi@econ.kyoto-u.ac.jp
Last synced: 11 months ago