Package: golden 0.0.4

golden: Framework for Patient-Level Microsimulation of Risk Factor Trajectories & Hazard-Based Events

Fast, flexible, patient-level microsimulation. Time-stepped simulation with a 'C++' back-end from user-supplied initial population, trajectories, hazards, and corresponding event transitions. User-defined aggregate time series histories are returned together with the final population. Designed for simulation of chronic diseases with continuous and evolving risk factors, but could easily be applied more generally.

Authors:Pete Dodd [aut, cre], Robert Chisholm [aut], University of Sheffield [cph], Horizon Europe [fnd]

golden_0.0.4.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
golden/json (API)

# Install 'golden' in R:

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

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

bmi_fits - Example BMI distribution
globorisk_coefs - Example globorisk coefficients
globorisk_cvdr - Example globorisk baseline hazard
globorisk_rf - Example globorisk reference values
lifetable_data - Example life table data
pop_snapshot - Example population structure

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.30 score 10 scripts 214 downloads 21 exports 2 dependencies

Last updated from:1eb2bc345e. Checks:13 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	WARNING	125
linux-devel-x86_64	WARNING	144
source / vignettes	OK	202
linux-release-arm64	WARNING	113
linux-release-x86_64	WARNING	138
macos-release-arm64	WARNING	126
macos-release-x86_64	WARNING	188
macos-oldrel-arm64	WARNING	122
macos-oldrel-x86_64	WARNING	303
windows-devel-arm64	WARNING	192
windows-devel-x86_64	WARNING	144
windows-release-arm64	WARNING	202
windows-release-x86_64	WARNING	107
windows-oldrel-x86_64	WARNING	85
wasm-release	OK	112

Exports:check_column check_hazard check_history check_parameters check_trajectory check_transition create_cohort new_column new_hazard new_history new_parameters new_trajectory new_transition print.golden_hazard print.golden_history print.golden_history_column print.golden_parameters print.golden_timing print.golden_trajectory print.golden_transition run_simulation

Dependencies:data.table Rcpp

Getting Started with golden

Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-08-24
Started: 2026-03-16

Help page	Topics
Example BMI distribution	bmi_fits
Validate an history column object If validation fails, an exception will be raised.	check_column
Validate an hazard object If validation fails, an exception will be raised.	check_hazard
Validate an history object If validation fails, an exception will be raised.	check_history
Validate the configuration passed to run_simulation() If validation fails, an exception will be raised.	check_parameters
Validate an trajectory object If validation fails, an exception will be raised.	check_trajectory
Validate an transition object If validation fails, an exception will be raised.	check_transition
Create a new cohort	create_cohort
Example globorisk coefficients	globorisk_coefs
Example globorisk baseline hazard	globorisk_cvdr
Example globorisk reference values	globorisk_rf
Golden: Framework for Patient-Level Microsimulation of Risk Factor Trajectories & Hazard-Based Events	golden-package golden
Example life table data	lifetable_data
Create a new golden_history_column	new_column
Create a new hazard object	new_hazard
Create a new golden_history	new_history
Create a new golden_parameters	new_parameters
Create a new trajectory object	new_trajectory
Create a new transition object	new_transition
Example population structure	pop_snapshot
Print the contents of a golden_hazard type S3 object	print.golden_hazard
Print the contents of a golden_history type S3 object	print.golden_history
Print the contents of a golden_history_column type S3 object	print.golden_history_column
Print the contents of a golden_parameters type S3 object	print.golden_parameters
Print the contents of a golden_timing type S3 object	print.golden_timing
Print the contents of a golden_trajectory type S3 object	print.golden_trajectory
Print the contents of a golden_transition type S3 object	print.golden_transition
Execute a patient trajectory simulation	run_simulation

Package: golden 0.0.4

golden: Framework for Patient-Level Microsimulation of Risk Factor Trajectories & Hazard-Based Events

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)