################################################################################
# This script runs the cohort implementation of the Sick-Sicker #
# state-transition model (STM) #
# #
# Authors: #
# - Fernando Alarid-Escudero, PhD, <falarid@stanford.edu> #
# - Eline Krijkamp, MS #
# - Petros Pechlivanoglou, PhD #
# - Hawre Jalal, MD, PhD #
# - Eva A. Enns, PhD #
################################################################################
# The structure of this code is according to the DARTH framework #
# https://github.com/DARTH-git/Decision-Modeling-Framework #
################################################################################
rm(list = ls()) # to clean the workspace
#### 02.1 Load packages and functions ####
#### 02.1.1 Load packages and functions ####
library(dplyr) # For data manipulation
library(survival) # For plotting state-transition diagram
#### 02.1.2 Load inputs ####
l_params_all <- load_all_params(file.init = "data-raw/01_init_params.csv",
file.mort = "data-raw/01_all_cause_mortality.csv") # function in darthpack
#### 02.1.3 Load functions ####
# no functions required
#### 02.2 Run STM ####
### Create list of model output
l_out_stm <- decision_model(l_params_all = l_params_all)
### Plot Markov cohort trace
png("figs/02_trace_plot.png")
matplot(l_out_stm$m_M,
xlab = "Cycle", ylab = "Proportion")
legend("right", legend = l_params_all$v_n,
pch = as.character(1:4), col = 1:4)
dev.off()
### Plot state-transition diagram
png("figs/02_model_diagram.png")
connect <- (l_out_stm$a_P[,,1] > 0)
survival::statefig(layout = c(2, 2), connect = connect )
dev.off()
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