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.
- Version1.4.0
- R versionunknown
- LicenseAGPL-3
- Needs compilation?No
- lmtp citation info
- Last release06/27/2024
Documentation
Team
Nicholas Williams
Iván Díaz
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- Imports11 packages
- Suggests6 packages
- Reverse Imports1 package