rcctvm

The goal of rcctvm is to produce top notch statistical models in bio medical research.

Installation

You can install the development version of rcctvm from GitHub with:

pak::pak("Poduval/rcctvm")

Examples

Basic functions

This is a basic example which shows you how to solve a common problem:

library(rcctvm)
#> Attached R package from Regional Cancer Centre, Thiruvananthapuram
add2vars(2, 3)
#> [1] 5

Predictions with survival model

Single input

predict_risk(sex = "female", wbc = 2.1, treatment = "new")
#>         1 
#> 0.1553109
predict_risk(sex = "male", wbc = 4.3, treatment = "standard")
#>         1 
#> 0.0841474

Vector input

predict_risk(sex = c("female", "male"),  wbc = c(2.1, 4.3), 
             treatment = c("new", "standard"))
#>         1         2 
#> 0.1553109 0.0841474

Data frame input

testdata <- data.frame(
  sex = c("female", "male"), 
  wbc = c(2.1, 4.3),
  treatment = c("new", "standard"))

predict_risk(x = testdata)
#>         1         2 
#> 0.1553109 0.0841474