Param_MSM_linear: Parameter for Linear Working Marginal Structural Model
In tlverse/tmle3shift: Targeted Learning of the Causal Effects of Stochastic Interventions
Param_MSM_linear R Documentation
Parameter for Linear Working Marginal Structural Model
Description
Parameter definition for targeting the parameters of a linear working
marginal structural model (MSM): EY = beta0 + beta1 * delta, in order to
summarize the variable importance results of a grid of shift interventions.
Format
R6Class object.
Value
Param_base object
Constructor
define_param(Param_MSM_linear, observed_likelihood,
intervention_list, ..., outcome_node)
observed_likelihoodA Likelihood
corresponding to the observed likelihood.
intervention_listA list of objects inheriting from
LF_base, representing the intervention.
...Not currently used.
outcome_nodecharacter, the name of the node that should
be treated as the outcome.
Fields
cf_likelihoodthe counterfactual likelihood for this
treatment.
intervention_listA list of objects inheriting from
LF_base, representing the intervention.
tlverse/tmle3shift documentation built on Sept. 24, 2024, 4:21 a.m.
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| Param_MSM_linear | R Documentation |
Parameter for Linear Working Marginal Structural Model
Description
Parameter definition for targeting the parameters of a linear working marginal structural model (MSM): EY = beta0 + beta1 * delta, in order to summarize the variable importance results of a grid of shift interventions.
Format
R6Class object.
Value
Param_base object
Constructor
define_param(Param_MSM_linear, observed_likelihood,
intervention_list, ..., outcome_node)
observed_likelihoodA
Likelihoodcorresponding to the observed likelihood.intervention_listA list of objects inheriting from
LF_base, representing the intervention....Not currently used.
outcome_nodecharacter, the name of the node that should be treated as the outcome.
Fields
cf_likelihoodthe counterfactual likelihood for this treatment.
intervention_listA list of objects inheriting from
LF_base, representing the intervention.
R Package Documentation
Browse R Packages
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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