Package: msdes 1.0.0

msdes: CE Model

This is the Multiple Sclerosis MS Multiple Technology Appraisal MTA ID6369 Descrete Event Simulation DES Model.

Authors:Ayman Sadek

msdes_1.0.0.tar.gz
msdes_1.0.0.zip(r-4.7-any)msdes_1.0.0.zip(r-4.6-any)msdes_1.0.0.zip(r-4.5-any)
msdes_1.0.0.tgz(r-4.6-any)msdes_1.0.0.tgz(r-4.5-any)
msdes_1.0.0.tar.gz(r-4.7-any)msdes_1.0.0.tar.gz(r-4.6-any)
msdes_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
msdes/json (API)

# Install 'msdes' in R:

install.packages('msdes', repos = c('https://daysnmake.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/daysnmake/msdes/issues

Pkgdown/docs site:https://daysnmake.github.io

Datasets:

df_c_tx - DMT costs by year
df_c_tx_admin - Treatment administration costs by year
df_c_tx_load - Annual treatment scheduled load factors years 1-5
df_c_tx_monitor - Treatment monitoring costs by year
m_n_patients_edss - Patient counts by EDSS score
m_proportion_ontrtline - A matrix of patient counts stratified by treatment
m_tto_edss_decrease_rrms_sigma - Natural history variance covariance.
m_tto_edss_decrease_spms_sigma - Natural history variance covariance.
m_tto_edss_increase_harrms_sigma - Natural history treatment dependent variance covariance.
m_tto_edss_increase_rrms_sigma - Natural history treatment dependent variance covariance.
m_tto_edss_increase_spms_sigma - Natural history variance covariance.
m_tto_relapse_spms_sigma - Natural history variance covariance.
m_tto_sp_conversion_harrms_sigma - Natural history treatment dependent variance covariance.
tto_relapse_harrms_sigma - Natural history treatment dependent variance covariance.
v_smr_severity_harding - A matrix of excess all cause mortality for MS patients by severity
v_tto_edss_decrease_rrms_mu - Natural history coefficients.
v_tto_edss_decrease_spms_mu - Natural history coefficients.
v_tto_edss_increase_harrms_mu - Natural history treatment dependent coefficients.
v_tto_edss_increase_rrms_mu - Natural history treatment dependent coefficients.
v_tto_edss_increase_spms_mu - Natural history coefficients.
v_tto_relapse_harrms_mu - Natural history treatment dependent coefficients.
v_tto_relapse_spms_mu - Natural history coefficients.
v_tto_sp_conversion_harrms_mu - Natural history treatment dependent coefficients.

On CRAN:

4.51 score 11 exports 122 dependencies

Last updated from:ca33cc2d38. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	WARNING	169
source / vignettes	OK	628
linux-release	WARNING	160
macos-release	WARNING	79
macos-oldrel	WARNING	101
windows-devel	WARNING	89
windows-release	WARNING	97
windows-oldrel	WARNING	81
wasm-release	OK	148

Exports:draw_tte_new_warden gen_common_all_inputs gen_init_events gen_inputs gen_react_events gen_unique_pt_inputs rrmsdesmodel rrmsdessetup run_sim_new summarise_ce_results summarise_samples

Dependencies:abind askpass assertthat backports base64enc bbmle BCEA bdsmatrix bslib cachem checkmate cli codetools cpp11 crayon crosstalk curl data.table dbarts deSolve digest distributional doFuture dplyr earth evaluate expm farver fastGHQuad fastmap flexsurv fontawesome foreach Formula fs future future.apply generics ggplot2 globals glue gridExtra gtable hesim highr hms htmltools htmlwidgets httr isoband iterators jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle listenv lsoda magrittr MASS Matrix matrixStats memoise mgcv mime msm mstate muhaz mvtnorm nlme numDeriv openssl otel parallelly pillar pkgconfig plotly plotmo plotrix posterior prettyunits progress progressr promises purrr quadprog R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo Rdpack rlang rmarkdown rstpm2 S7 sass scales statmod stringi stringr survival sys tensorA tibble tidyr tidyselect tinytex utf8 vctrs VGAM viridisLite voi WARDEN withr xfun yaml zoo

msdes

Introduction | Main options | model setup | Run Model | Plot Results

Rendered frommsdes.Rmdusingknitr::rmarkdown

Last update: 2026-10-24
Started: 2026-10-21

simple

Rendered fromsimple.Rmdusingknitr::rmarkdown

Last update: 2026-10-24
Started: 2026-10-24

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
DMT costs by year	df_c_tx
Treatment administration costs by year	df_c_tx_admin
Annual treatment scheduled load factors years 1-5	df_c_tx_load
Treatment monitoring costs by year	df_c_tx_monitor
Draw time to Event custom function	draw_tte_new_warden
Generate Global inputs	gen_common_all_inputs
Generate initial events	gen_init_events
generate inputs	gen_inputs
Generate reaction events	gen_react_events
Generate Individual inputs	gen_unique_pt_inputs
Patient counts by EDSS score	m_n_patients_edss
A matrix of patient counts stratified by treatment	m_proportion_ontrtline
Natural history treatment dependent variance covariance.	m_tto_edss_increase_harrms_sigma m_tto_edss_increase_rrms_sigma m_tto_sp_conversion_harrms_sigma tto_relapse_harrms_sigma
Natural history variance covariance.	m_tto_edss_decrease_rrms_sigma m_tto_edss_decrease_spms_sigma m_tto_edss_increase_spms_sigma m_tto_relapse_spms_sigma
RunModel as a function	rrmsdesmodel
SetupModel as a function	rrmsdessetup
Run Sim new	run_sim_new
Summarise Cost-effectiveness results	summarise_ce_results
Summarise Samples	summarise_samples
A matrix of excess all cause mortality for MS patients by severity	v_smr_severity_harding
Natural history treatment dependent coefficients.	v_tto_edss_increase_harrms_mu v_tto_edss_increase_rrms_mu v_tto_relapse_harrms_mu v_tto_sp_conversion_harrms_mu
Natural history coefficients.	v_tto_edss_decrease_rrms_mu v_tto_edss_decrease_spms_mu v_tto_edss_increase_spms_mu v_tto_relapse_spms_mu