Update README

Update reference to arxiv paper

Author: feralaes

README.Rmd

@@ -9,22 +9,22 @@ output: github_document
 
 This GitHub repository provides the code of the tutorial on how to implement time-independent cohort state-transition models (cSTMs) in R using a cost-effectiveness analysis (CEA) example, explained in the following manuscript: 
 
-- Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H. [An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example](http://arxiv.org/abs/2001.07824). arXiv:200107824v3. 2021:1-26.
+- Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H. [An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example](http://arxiv.org/abs/2001.07824). arXiv:200107824v4. 2022:1-30.
 
 The release that accompanies the published article has been archived in zenodo: https://zenodo.org/badge/latestdoi/357362984
 
 The [`R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/tree/main/R) folder includes two different scripts corresponding to functions used to synthesize cSTMs outputs and conduct several sensitivity analyses:
 
-   - [`Funtions.R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/blob/main/R/Functions.R): Functions to generate epidemiological measures from time-independent cSTMs.
+   - [`Funtions.R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/blob/main/R/Functions.R): Functions that generate epidemiological measures from time-independent cSTMs and compute within-cycle correction, parameter transformation, matrix checks, and CEA and PSA visualization.
    - [`Functions_cSTM_time_indep.R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/blob/main/R/Functions_cSTM_time_indep.R): These functions wrap the time-independent cSTM, compute CEA measures, and generate probabilistic sensitivity analysis (PSA) input datasets.
 
 ## How to cite this R code in your article
 
 You can cite the R code in this repository like this "we based our analysis using the R code from Alarid-Escudero F et al. (2021)". Here is the full bibliographic reference to include in your reference list for the manuscript and the R code (don't forget to update the 'last accessed' date):
 
-> Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H. An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example (http://arxiv.org/abs/2001.07824). arXiv:200107824v3. 2021:1-26. 
+> Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H. An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example (http://arxiv.org/abs/2001.07824). arXiv:200107824v4. 2022:1-30. 
 
-> Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H (2021). R Code for An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example (Version v0.1.1). Zenodo. [10.5281/zenodo.5223093](https://www.doi.org/10.5281/zenodo.5223093). Last accessed 19 August 2021.
+> Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H (2022). R Code for An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example (Version v0.1.1). Zenodo. [10.5281/zenodo.5223093](https://www.doi.org/10.5281/zenodo.5223093). Last accessed 30 March 2022.
 
 If you adapted the code, you should indicate "Adapted from:" or "Based on" so it is understood that you modified the code. For more information on how to cite computer code, we refer the user to review [Writing Code (from MIT Research Guide)](https://integrity.mit.edu/handbook/writing-code), which provides examples of how and when to cite computer code.
 

README.md

@@ -13,8 +13,8 @@ following manuscript:
 -   Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM,
     Pechlivanoglou P, Jalal H. [An Introductory Tutorial on Cohort
     State-Transition Models in R Using a Cost-Effectiveness Analysis
-    Example](http://arxiv.org/abs/2001.07824). arXiv:200107824v3.
-    2021:1-26.
+    Example](http://arxiv.org/abs/2001.07824). arXiv:200107824v4.
+    2022:1-30.
 
 The release that accompanies the published article has been archived in
 zenodo: <https://zenodo.org/badge/latestdoi/357362984>
@@ -25,8 +25,10 @@ folder includes two different scripts corresponding to functions used to
 synthesize cSTMs outputs and conduct several sensitivity analyses:
 
 -   [`Funtions.R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/blob/main/R/Functions.R):
-    Functions to generate epidemiological measures from time-independent
-    cSTMs.
+    Functions that generate epidemiological measures from
+    time-independent cSTMs and compute within-cycle correction,
+    parameter transformation, matrix checks, and CEA and PSA
+    visualization.
 -   [`Functions_cSTM_time_indep.R`](https://github.com/DARTH-git/cohort-modeling-tutorial-intro/blob/main/R/Functions_cSTM_time_indep.R):
     These functions wrap the time-independent cSTM, compute CEA
     measures, and generate probabilistic sensitivity analysis (PSA)
@@ -43,15 +45,15 @@ accessed’ date):
 > Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM,
 > Pechlivanoglou P, Jalal H. An Introductory Tutorial on Cohort
 > State-Transition Models in R Using a Cost-Effectiveness Analysis
-> Example (<http://arxiv.org/abs/2001.07824>). arXiv:200107824v3.
-> 2021:1-26.
+> Example (<http://arxiv.org/abs/2001.07824>). arXiv:200107824v4.
+> 2022:1-30.
 
 > Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM,
-> Pechlivanoglou P, Jalal H (2021). R Code for An Introductory Tutorial
+> Pechlivanoglou P, Jalal H (2022). R Code for An Introductory Tutorial
 > on Cohort State-Transition Models in R Using a Cost-Effectiveness
 > Analysis Example (Version v0.1.1). Zenodo.
 > [10.5281/zenodo.5223093](https://www.doi.org/10.5281/zenodo.5223093).
-> Last accessed 19 August 2021.
+> Last accessed 30 March 2022.
 
 If you adapted the code, you should indicate “Adapted from:” or “Based
 on” so it is understood that you modified the code. For more information