lmtp: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies

Non-parametric estimators for casual effects based on longitudinal modified treatment policies as described in Diaz, Williams, Hoffman, and Schenck <doi:10.1080/01621459.2021.1955691>, traditional point treatment, and traditional longitudinal effects. Continuous, binary, categorical treatments, and multivariate treatments are allowed as well are censored outcomes. The treatment mechanism is estimated via a density ratio classification procedure irrespective of treatment variable type. For both continuous and binary outcomes, additive treatment effects can be calculated and relative risks and odds ratios may be calculated for binary outcomes.

Version:	1.4.0
Depends:	R (≥ 2.10)
Imports:	stats, nnls, cli, R6, generics, origami, future (≥ 1.17.0), progressr, data.table (≥ 1.13.0), checkmate (≥ 2.1.0), SuperLearner, schoolmath
Suggests:	testthat (≥ 2.1.0), covr, rmarkdown, knitr, ranger, twang
Published:	2024-06-27
DOI:	10.32614/CRAN.package.lmtp
Author:	Nicholas Williams [aut, cre, cph], Iván Díaz [aut, cph]
Maintainer:	Nicholas Williams <ntwilliams.personal at gmail.com>
BugReports:	https://github.com/nt-williams/lmtp/issues
License:	AGPL-3
URL:	https://beyondtheate.com/, https://github.com/nt-williams/lmtp
NeedsCompilation:	no
Citation:	lmtp citation info
Materials:	README NEWS
In views:	CausalInference
CRAN checks:	lmtp results

Documentation:

Reference manual:

lmtp.pdf

Downloads:

Package source:	lmtp_1.4.0.tar.gz
Windows binaries:	r-devel: lmtp_1.4.0.zip, r-release: lmtp_1.4.0.zip, r-oldrel: lmtp_1.4.0.zip
macOS binaries:	r-release (arm64): lmtp_1.4.0.tgz, r-oldrel (arm64): lmtp_1.4.0.tgz, r-release (x86_64): lmtp_1.4.0.tgz, r-oldrel (x86_64): lmtp_1.4.0.tgz
Old sources:	lmtp archive

Reverse dependencies:

Reverse imports:

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