Title: Fits Geographically Weighted Regression Models with Diagnostic
Description: Fits geographically weighted regression (GWR) models and has tools to diagnose and remediate collinearity in the GWR models. Also fits geographically weighted ridge regression (GWRR) and geographically weighted lasso (GWL) models. See Wheeler (2009) <doi:10.1068/a40256> and Wheeler (2007) <doi:10.1068/a38325> for more details.
Packaged: 2022-05-09 22:15:12 UTC; dcwheeler

Title: Genome-Wide Structural Equation Modeling
c(person(c("Joshua", "N."), "Pritikin", email="jpritikin@pobox.com", role=c("aut", 'cre')),
Description: Melds genome-wide association tests with structural
equation modeling (SEM) using 'OpenMx'. This package contains low-level
C/C++ code to rapidly read genetic data encoded in U.K. Biobank or 'plink'
formats. Prebuilt modeling options include one and two factor
models. Alternately, analyses may utilize arbitrary, user-provided SEMs.
details. An updated manuscript is in preparation.
Imports: data.table, methods, qqman, Rcpp
Suggests: testthat (>= 2.1.0), MASS, covr, knitr, rmarkdown

equation modeling (SEM) using 'OpenMx'. This package contains
low-level C/C++ code to rapidly read genetic data encoded in U.K.
Biobank or 'plink' formats. Prebuilt modeling options include one and
two factor models. Alternately, analyses may utilize arbitrary,
user-provided SEMs.  See Verhulst, Maes, & Neale (2017)
<doi:10.1007/s10519-017-9842-6> for details. An updated manuscript is
Imports: data.table, methods, qqman, Rcpp, lifecycle

Suggests: testthat (>= 2.1.0), MASS, covr, knitr, rmarkdown, qqman

Suggests: testthat (>= 2.1.0), MASS, covr, knitr, rmarkdown, curl

Suggests: testthat (>= 2.1.0), MASS, covr, knitr, rmarkdown, digest,

Title: Provides Access to the OpenAI Gym API
Description: OpenAI Gym is a open-source Python toolkit for developing and comparing
reinforcement learning algorithms. This is a wrapper for the OpenAI Gym API,
and enables access to an ever-growing variety of environments.
For more details on OpenAI Gym, please see here: <https://github.com/openai/gym>.
For more details on the OpenAI Gym API specification, please see here:
Authors@R: person("Paul", "Hendricks", email = "paul.hendricks.2013@owu.edu", role = c("aut", "cre"))
Packaged: 2016-10-24 22:45:00 UTC; paulhendricks