Title: Estimate Gaps Under an Intervention
Description: Provides functions to estimate the disparities across categories (e.g. Black and white) that persists if a treatment variable (e.g. college) is equalized. Makes estimates by treatment modeling, outcome modeling, and doubly-robust augmented inverse probability weighting estimation, with standard errors calculated by a nonparametric bootstrap. Cross-fitting is supported. Survey weights are supported for point estimation but not for standard error estimation; those applying this package with complex survey samples should consult the data distributor to select an appropriate approach for standard error construction, which may involve calling the functions repeatedly for many sets of replicate weights provided by the data distributor. The methods in this package are described in Lundberg (2021) <doi:10.31235/osf.io/gx4y3>.
Imports: stats, utils, mgcv, ranger, glmnet, Rdpack, magrittr, dplyr,
forcats, ggplot2, gridExtra, tidyr, foreach, tidyselect,
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling
Packaged: 2021-09-02 16:08:54 UTC; ilundberg
Author: Ian Lundberg [aut, cre] (<https://orcid.org/0000-0002-1909-2270>)

Imports: stats, mgcv, ranger, glmnet, magrittr, dplyr, forcats,
ggplot2, tidyr, foreach, tidyselect, parallel, doParallel
Packaged: 2021-09-30 01:53:22 UTC; ilundberg

Title: Fill Missing Values in Satellite Data
Description: Tools to fill missing values in satellite data and to develop new
gap-fill algorithms. The methods are tailored to data (images) observed
at equally-spaced points in time. The package is illustrated with MODIS
Imports: fields, foreach (>= 1.4), Rcpp (>= 0.12.1), quantreg (>= 5.0)

Suggests: roxygen2, spam, testthat, abind

Authors@R: c(person("Florian", "Gerber", role = c("aut", "cre"),
Author: Florian Gerber [aut, cre] (<https://orcid.org/0000-0001-8545-5263>)

Title: Functions for Drawing Gapped Cluster Heatmap with ggplot2
Description: The gap encodes the distance between clusters and improves
interpretation of cluster heatmaps. The gaps can be of the same
distance based on a height threshold to cut the dendrogram. Another
option is to vary the size of gaps based on the distance between