DESCRIPTION

Package: lmtp
Title: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies
Version: 1.4.0
Authors@R: 
    c(person(given = "Nicholas",
             family = "Williams",
             role = c("aut", "cre", "cph"),
             email = "ntwilliams.personal@gmail.com", 
             comment = c(ORCID = "0000-0002-1378-4831")),
      person(given = "Iván", 
             family = "Díaz", 
             email = "Ivan.Diaz@nyulangone.org",
             role = c("aut", "cph"),
             comment = c(ORCID = "0000-0001-9056-2047")))
Description: 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.  
Depends: 
    R (>= 2.10)
License: AGPL-3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Imports: 
    stats,
    nnls,
    cli,
    R6,
    generics,
    origami,
    future (>= 1.17.0),
    progressr,
    data.table (>= 1.13.0),
    checkmate (>= 2.1.0),
    SuperLearner,
    schoolmath
URL: https://beyondtheate.com/, https://github.com/nt-williams/lmtp
BugReports: https://github.com/nt-williams/lmtp/issues
Suggests: 
    testthat (>= 2.1.0),
    covr,
    rmarkdown,
    knitr, 
    ranger, 
    twang