inst/doc/Multi_Realization.R

In Colossus: "Risk Model Regression and Analysis with Complex Non-Linear Models"

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

## ----setup--------------------------------------------------------------------
library(Colossus)
library(data.table)

## -----------------------------------------------------------------------------
names <- c("a", "r0", "s0")
term_n <- c(0, 0, 0)
tform <- c("loglin", "loglin", "loglin")
modelform <- "M"

a_n <- c(0.1, 0.1, 0.1)
model_control <- list("mcml" = FALSE)
# Setting to true uses the Monte-Carlo Maximum Likelihood option and optimizes the average log-likelihood, setting to false optimizes each realization separately.

## ----eval=FALSE---------------------------------------------------------------
# dose_index <- c("r0", "s0")
# # The two columns in the model to replace are the radiation and sleeping covariates
# dose_realizations <- matrix(
#   c("r0", "r1", "r2", "r3", "r4", "s0", "s1", "s2", "s3", "s4"),
#   nrow = 2
# )
# # columns to be used for realizations 0-4, rows for each column being replaced