## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----eval=FALSE---------------------------------------------------------------
# # Stable release
# install.packages("SimuRg")
# 
# # Development version:
# remotes::install_github("ms-decisions/SimuRg")

## ----setup--------------------------------------------------------------------
library(SimuRg)

## ----model--------------------------------------------------------------------
library(tibble)
library(dplyr)
library(stringr)
library(readr)

model <- system.file("extdata", "models", "model_PK_1c.txt", package = "SimuRg")
read_lines(model)

## ----data---------------------------------------------------------------------
data  <- system.file("extdata", "datasets", "dspk-warf.csv", package = "SimuRg")
data_content <- read.csv(data)
head(data)
headers <- list(list(name = "ID", use = "identifier", type = NULL),
                list(name = "TIME", use = "time", type = NULL),
                list(name = "DV", use = "observation", type = "continuous"),
                list(name = "DVID", use = "observationtype", type = NULL),
                list(name = "ADM", use = "administration", type = NULL),
                list(name = "AMT", use = "amount", type = NULL),
                list(name = "EVID", use = "eventidentifier", type = NULL),
                list(name = "MDV", use = "missingdependentvariable", type = NULL),
                list(name = "AGE", use = "covariate", type = "continuous"),
                list(name = "AGE_centered", use = "covariate", type = "continuous"),
                list(name = "SEX", use = "covariate", type = "categorical"),
                list(name = "WEIGHT", use = "covariate", type = "continuous"),
                list(name = "BMI", use = "covariate", type = "continuous"),
                list(name = "CLCR", use = "covariate", type = "continuous"),
                list(name = "CYP2C9_gentyp", use = "covariate", type = "categorical"),
                list(name = "VKORC1_gentyp", use = "covariate", type = "categorical"),
                list(name = "G1_1", use = "ignore", type = NULL),
                list(name = "G1_2", use = "ignore", type = NULL),
                list(name = "G1_3", use = "ignore", type = NULL),
                list(name = "G2_2", use = "ignore", type = NULL),
                list(name = "G2_3", use = "ignore", type = NULL),
                list(name = "G3_3", use = "ignore", type = NULL),
                list(name = "GG", use = "ignore", type = NULL),
                list(name = "AG", use = "ignore", type = NULL),
                list(name = "AA", use = "ignore", type = NULL))

## ----theta--------------------------------------------------------------------
theta <- tribble(~NAME, ~TRANS, ~INIT, ~LB, ~UB, ~EST,
                  "Cl", "logNormal", 0.2, NA, NA, TRUE,
                  "V", "logNormal", 20, NA, NA, TRUE,
                  "ka", "logNormal", 0.2, NA, NA, TRUE
)

## ----re-----------------------------------------------------------------------
re <- list(init = tribble(~Cl, ~V, ~ka,
                           1, 0, 0,
                           0, 0, 0,
                           0, 0, 1) %>% as.matrix(),
            est = tribble(~Cl, ~V, ~ka,
                          TRUE, NA, NA,
                          NA, NA, NA,
                          NA, NA, TRUE) %>% as.matrix())

occ <- list(init = tribble(~Cl, ~V, ~ka,
                            0, 0, 0,
                            0, 0, 0,
                            0, 0, 0) %>% as.matrix(),
             est = tribble(~Cl, ~V, ~ka,
                           NA, NA, NA,
                           NA, NA, NA,
                           NA, NA, NA) %>% as.matrix())
 

## ----ruv----------------------------------------------------------------------
ruv <- list(YNAME = "y1", DVID = 1, TRANS = "normal", PRED = "Cc",
             ERR = "combined1", INIT = c(1, 1), EST = c(TRUE, TRUE), BLQM = NULL)

## ----cov----------------------------------------------------------------------
covs <- list(list(PAR = "V", COVNAME = "AGE", FUNC = "linear",
                  TRANS = "median", INIT = 1, EST = TRUE),
             list(PAR = "ka", COVNAME = "SEX", REF = 0, INIT = 1, EST = TRUE))

## ----fit----------------------------------------------------------------------
output_path <- str_c(tempdir(), "/")
task_opt <-  paste("populationParameters()", "individualParameters()",
                    "logLikelihood()", sep = "\n")
result <- sg_fit(model, data, headers, theta, ruv, re, occ, covs,
                  project_name = "my_project", fit = FALSE, # set fit = TRUE for fit
                  path_to_save_output =  output_path)

## ----read---------------------------------------------------------------------
test_folder <- system.file("extdata", "Monolix_objects", package = "SimuRg")
if (substr(test_folder, nchar(test_folder), nchar(test_folder)) != "/")
  test_folder <- str_c(test_folder, "/")
pro_name <- "proj-solo"
message("Resolved folder: ", test_folder)
message("Folder exists: ", dir.exists(test_folder))

result <- sg_converter(folder_path = test_folder, proj_name = pro_name)

## ----gof----------------------------------------------------------------------
sg_gof_obpr(result$GFO)
sg_gof_tp(result$GFO)
sg_gof_par_dist(result$GFO)
sg_gof_res_dist(result$GFO)
sg_gof_res(result$GFO)
sg_gof_res(result$GFO, vs_time = F)