create_input_mats: Create input matrices

In InnovationValueInitiative/hesim: Health Economic Simulation Modeling and Decision Analysis

Create input matrices

Description

create_input_mats() is a generic function for creating an object of class input_mats. Model matrices are constructed based on the variables specified in the model object and the data specified in input_data. create_input_mats() is not typically called by users directly, but is instead used by functions that create model objects (e.g., create_IndivCtstmTrans(), create_CohortDtstmTrans(), create_PsmCurves()).

Usage

create_input_mats(object, ...)

## S3 method for class 'lm'
create_input_mats(object, input_data, ...)

## S3 method for class 'flexsurvreg'
create_input_mats(object, input_data, ...)

## S3 method for class 'flexsurvreg_list'
create_input_mats(object, input_data, ...)

## S3 method for class 'partsurvfit'
create_input_mats(object, input_data, ...)

## S3 method for class 'params_lm'
create_input_mats(object, input_data, ...)

## S3 method for class 'params_surv'
create_input_mats(object, input_data, ...)

## S3 method for class 'params_surv_list'
create_input_mats(object, input_data, ...)

## S3 method for class 'multinom'
create_input_mats(object, input_data, ...)

## S3 method for class 'multinom_list'
create_input_mats(object, input_data, ...)

## S3 method for class 'params_mlogit_list'
create_input_mats(object, input_data, ...)

Arguments

object	An object of the appropriate class.
...	Further arguments passed to model.matrix().
input_data	An object of class expanded_hesim_data returned by expand.hesim_data(). It is used to look for the variables needed to create an input matrix for use in a statistical models and the ID variables for indexing rows in the input matrix.

Value

An object of class input_mats.

See Also

input_mats()

Examples

library("flexsurv")

strategies <- data.frame(strategy_id = c(1, 2))
patients <- data.frame(patient_id = seq(1, 3),
                       age = c(45, 47, 60),
                       female = c(1, 0, 0),
                       group = factor(c("Good", "Medium", "Poor")))
states <- data.frame(state_id =  seq(1, 3),
                     state_name = factor(paste0("state", seq(1, 3))))
hesim_dat <- hesim_data(strategies = strategies,
                        patients = patients,
                        states = states)

# Class "lm"
input_data <- expand(hesim_dat, by = c("strategies", "patients", "states"))
medcost_fit <- lm(costs ~ female + state_name, psm4_exdata$costs$medical)
input_mats <- create_input_mats(medcost_fit, input_data)
input_mats

# Class "flexsurvreg"
input_data <- expand(hesim_dat, by = c("strategies", "patients"))
fit_wei <- flexsurvreg(formula = Surv(futime, fustat) ~ 1,
                       data = ovarian, dist = "weibull")
input_mats <- create_input_mats(fit_wei, input_data)
input_mats

InnovationValueInitiative/hesim documentation built on Feb. 12, 2024, 10:39 p.m.