LocalControl: Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence

Implements novel nonparametric approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes. While designed and appropriate for use in studies involving medicine and the life sciences, the package can be used in other situations involving outcomes with multiple confounders. The package implements a family of methods for non-parametric bias correction when comparing treatments in observational studies, including survival analysis settings, where competing risks and/or censoring may be present. The approach extends to bias-corrected personalized predictions of treatment outcome differences, and analysis of heterogeneity of treatment effect-sizes across patient subgroups.

Depends: R (≥ 3.0.0)
Imports: Rcpp, gss, cluster, lattice, stats, graphics
LinkingTo: Rcpp
Suggests: colorspace, RColorBrewer, TeachingDemos, data.table, ggplot2, gridExtra, rpart, rpart.plot, xtable
Published: 2020-04-07
Author: Nicolas R. Lauve [aut], Stuart J. Nelson [aut], S. Stanley Young [aut], Robert L. Obenchain [aut], Melania Pintilie [ctb], Martin Kutz [ctb], Christophe G. Lambert [aut, cre]
Maintainer: Christophe G. Lambert <cglambert at unm.edu>
License: Apache License 2.0 | file LICENSE
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: LocalControl results


Reference manual: LocalControl.pdf
Vignettes: LocalControl-jss-2018
Package source: LocalControl_1.1.2.1.tar.gz
Windows binaries: r-devel: LocalControl_1.1.2.1.zip, r-release: LocalControl_1.1.2.1.zip, r-oldrel: LocalControl_1.1.2.1.zip
macOS binaries: r-release: LocalControl_1.1.2.1.tgz, r-oldrel: LocalControl_1.1.2.1.tgz
Old sources: LocalControl archive


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