Nothing
.make.model <- function(data, ...){
UseMethod(".make.model", data)
}
# Makes a model class for the specified glm adjustment method
# with settings for covariate randomization
# scheme and vcovHC type.
.make.model.RoboDataGLM <- function(data, car_scheme, vcovHC,
g_family, g_accuracy, ...) {
# Get logic for car scheme + adjustment methods
z_exists <- !is.null(data$car_strata)
logic <- glmlogic(car_scheme=car_scheme, z_exists=z_exists)
model <- structure(
list(
vcovHC=vcovHC,
g_family=g_family,
g_accuracy=g_accuracy,
car_scheme=car_scheme,
pu_joint_z=logic$pu_joint_z,
pu_funcs=logic$pu_funcs,
omegaz_func=logic$omegaz_func
),
class=c(logic$method)
)
return(model)
}
# Makes a model class for the specified glm adjustment method
# with settings for covariate randomization
# scheme and vcovHC type.
.make.model.RoboDataSL <- function(data, car_scheme, vcovHC,
covariate_to_include_strata,
SL_libraries, SL_learners,
k_split,
g_accuracy, ...) {
x_exists <- !is.null(data$covariate)
z_exists <- !is.null(data$car_strata)
# Get logic for adjustment methods
logic <- SLlogic(car_scheme=car_scheme,
x_exists=x_exists, z_exists=z_exists,
cov_strata=covariate_to_include_strata)
model <- structure(
list(
vcovHC=vcovHC,
SL_libraries=SL_libraries,
SL_learners=SL_learners,
k_split=k_split,
car_scheme=car_scheme,
adj_se_z=logic$adj_se_z,
adj_vars=logic$adj_vars,
pu_joint_z=logic$pu_joint_z,
pu_funcs=logic$pu_funcs,
omegaz_func=logic$omegaz_func,
g_accuracy=g_accuracy
),
class=c(logic$method)
)
return(model)
}
# Makes a model class for the specified TTE adjustment method
# with settings for covariate randomization
# scheme and vcovHC type.
.make.model.RoboDataTTE <- function(data, adj_method, car_scheme,
p_trt, ref_arm, ...) {
x_exists <- !is.null(data$covariate)
z_exists <- !is.null(data$car_strata)
# Get logic for adjustment methods
logic <- ttelogic(adj_method=adj_method, car_scheme=car_scheme,
x_exists=x_exists, z_exists=z_exists)
if(adj_method %in% c("CL", "CSL")){
classtype <- "LogRank"
} else if(adj_method %in% c("coxscore")) {
classtype <- "CoxScore"
} else {
stop("Unrecognized adjustment method.")
}
model <- structure(
list(
method=logic$method,
adj_cov=logic$adj_cov,
adj_strata=logic$adj_strata,
car_strata=logic$car_strata,
car_scheme=car_scheme,
p_trt=p_trt,
ref_arm=ref_arm,
...
),
class=c(classtype, logic$method)
)
return(model)
}
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