# powerLATE

powerLATE implements the generalized power analysis for the local
average treatment effect (LATE), proposed by Bansak
(2020).

Power analysis is in the context of estimating the LATE (also known
as the complier average causal effect, or CACE), with calculations based
on a test of the null hypothesis that the LATE equals 0 with a two-sided
alternative. The method uses standardized effect sizes to place a
conservative bound on the power under minimal assumptions. powerLATE
allows users to recover power, sample size requirements, or minimum
detectable effect sizes. It also allows users to work with absolute
effects rather than effect sizes, to specify an additional assumption to
narrow the bounds, and to incorporate covariate adjustment.

## Installation

You can install the released version of powerLATE from CRAN with:

`install.packages("powerLATE")`

Or the development version from GitHub:

```
# install.packages("devtools")
devtools::install_github("kbansak/powerLATE")
```

## Getting started

powerLATE provides two main functions:

`powerLATE()`

, which computes the power of the Wald IV
estimator, or determines parameters (e.g.Â required sample size) to
obtain a target power.

`powerLATE.cov()`

, which is similar to
`powerLATE()`

but additionally allows the inclusion of
covariates.

## Navigating main functions

## Examples

For examples on how to use the package, see here

## Reference

For a detailed description of the method see:

## Maintainer