concrete: Continuous-Time Competing Risks Estimation using Targeted Minimum Loss-Based Estimation (TMLE)

One-step continuous-time Targeted Minimum Loss-Based Estimation (TMLE) for outcome-specific absolute risk estimands in right-censored survival settings with or without competing risks, implementing the methodology described in Rytgaard et al. (2023) <doi:10.1111/biom.13856> and Rytgaard and van der Laan (2023) <doi:10.1007/s10985-022-09576-2>. Currently 'concrete' can be used to estimate the effects of static or dynamic interventions on binary treatments given at baseline, cross-validated initial estimation of treatment propensity is done using the 'SuperLearner' package, and initial estimation of conditional hazards is done using ensembles of Cox regressions from the 'survival' package or Coxnet from the 'glmnet' package.

Version: 1.0.5
Depends: R (≥ 3.5.0)
Imports: data.table, survival, zoo, origami, SuperLearner, nleqslv, MASS, Rcpp (≥ 1.0.11)
LinkingTo: Rcpp, RcppArmadillo
Suggests: nnls, xgboost, glmnet, ranger, ggplot2, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2023-09-10
Author: David Chen ORCID iD [aut, cre]
Maintainer: David Chen <david.chen49 at>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README
CRAN checks: concrete results


Reference manual: concrete.pdf
Vignettes: Using-concrete


Package source: concrete_1.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): concrete_1.0.5.tgz, r-oldrel (arm64): concrete_1.0.5.tgz, r-release (x86_64): concrete_1.0.5.tgz

Reverse dependencies:

Reverse suggests: adjustedCurves


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