lmtp-package: lmtp: Non-Parametric Causal Effects of Feasible Interventions...
In lmtp: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies
lmtp-package R Documentation
lmtp: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies
Description
Non-parametric estimators for casual effects based on longitudinal modified treatment policies as described in Diaz, Williams, Hoffman, and Schenck \Sexpr[results=rd]{tools:::Rd_expr_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.
Author(s)
Maintainer: Nicholas Williams ntwilliams.personal@gmail.com (ORCID) [copyright holder]
Authors:
Iván Díaz Ivan.Diaz@nyulangone.org (ORCID) [copyright holder]
See Also
Useful links:
lmtp documentation built on June 27, 2024, 9:10 a.m.
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| lmtp-package | R Documentation |
lmtp: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies
Description
Non-parametric estimators for casual effects based on longitudinal modified treatment policies as described in Diaz, Williams, Hoffman, and Schenck \Sexpr[results=rd]{tools:::Rd_expr_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.
Author(s)
Maintainer: Nicholas Williams ntwilliams.personal@gmail.com (ORCID) [copyright holder]
Authors:
Iván Díaz Ivan.Diaz@nyulangone.org (ORCID) [copyright holder]
See Also
Useful links:
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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