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 # generalized random forests <a href='https://grf-labs.github.io/grf/'><img src='https://raw.githubusercontent.com/grf-labs/grf/master/images/logo/grf_logo_wbg_cropped.png' align="right" height="120" /></a>
 
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+[![](https://cranlogs.r-pkg.org/badges/grand-total/grf)](https://cran.r-project.org/package=grf)
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 A package for forest-based statistical estimation and inference. GRF provides non-parametric methods for heterogeneous treatment effects estimation (optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables), as well as least-squares regression, quantile regression, and survival regression, all with support for missing covariates.