Jing Hua Zhao with suggestions from R-Core
Datasets associated with the 'gap' package. Currently,
it includes an example data for regional association
plot (CDKN), Manhattan plots with (hr1420, mhtdata) and
without (w4) gene annotations.

Datasets associated with the 'gap' package. Currently,
it includes an example data for regional association
plot (CDKN), an example data for a genomewide association
meta-analysis (OPG), Manhattan plots with (hr1420, mhtdata)
and without (w4) gene annotations.

c(person("Jing Hua", "Zhao", role = c("aut", "cre"),
email="jinghuazhao@hotmail.com"),
person("Swetlana", "Herbrandt", role = "ctb"))
Datasets associated with the 'gap' package. Currently,
it includes an example data for regional association
plot (CDKN), an example data for a genomewide association
meta-analysis (OPG), data in studies of Parkinson's diease (PD),
ALHD2 markers and alcoholism (aldh2), APOE/APOC1 markers
and Schizophrenia (apoeapoc), cystic fibrosis (cf), a
Olink/INF panel (inf1), Manhattan plots with (hr1420, mhtdata)
and without (w4) gene annotations.
Jing Hua Zhao [aut, cre],
Swetlana Herbrandt [ctb]

person(given = "Ian",
family = "Lundberg",
role = c("aut", "cre"),
email = "ianlundberg@ucla.edu",
comment = c(ORCID = "https://orcid.org/0000-0002-1909-2270"))
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>.
stats, utils, mgcv, ranger, glmnet, Rdpack, magrittr, dplyr,
forcats, ggplot2, gridExtra, tidyr, foreach, tidyselect,
parallel, doParallel
testthat (>= 3.0.0), knitr, rmarkdown, spelling