Other packages > Find by keyword >

idmodelr  

Infectious Disease Model Library and Utilities
View on CRAN: Click here


Download and install idmodelr package within the R console
Install from CRAN:
install.packages("idmodelr")

Install from Github:
library("remotes")
install_github("cran/idmodelr")

Install by package version:
library("remotes")
install_version("idmodelr", "0.4.0")



Attach the package and use:
library("idmodelr")
Maintained by
Sam Abbott
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-01
Latest Update: 2022-09-02
Description:
Explore a range of infectious disease models in a consistent framework. The primary aim of 'idmodelr' is to provide a library of infectious disease models for researchers, students, and other interested individuals. These models can be used to understand the underlying dynamics and as a reference point when developing models for research. 'idmodelr' also provides a range of utilities. These include: plotting functionality; a simulation wrapper; scenario analysis tooling; an interactive dashboard; tools for handling mult-dimensional models; and both model and parameter look up tables. Unlike other modelling packages such as 'pomp' (), 'libbi' () and 'EpiModel' (), 'idmodelr' serves primarily as an educational resource. It is most comparable to epirecipes () but provides a more consistent framework, an R based workflow, and additional utility tooling. After users have explored model dynamics with 'idmodelr' they may then implement their model using one of these packages in order to utilise the model fitting tools they provide. For newer modellers, this package reduces the barrier to entry by containing multiple infectious disease models, providing a consistent framework for simulation and visualisation, and signposting towards other, more research focussed, resources.
How to cite:
Sam Abbott (2019). idmodelr: Infectious Disease Model Library and Utilities. R package version 0.4.0, https://cran.r-project.org/web/packages/idmodelr. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.3.0 (2019-08-01 11:20), 0.3.1 (2019-09-11 00:50), 0.3.2 (2020-06-11 16:20), 0.4.0 (2022-09-02 15:10)
Other packages that cited idmodelr R package
View idmodelr citation profile
Other R packages that idmodelr depends, imports, suggests or enhances
Complete documentation for idmodelr
Functions, R codes and Examples using the idmodelr R package
Some associated functions: SEIRS_demographics_ode . SEIRS_ode . SEIR_demographics_ode . SEIR_ode . SEIS_demographics_ode . SEIS_ode . SEI_demographics_ode . SEI_ode . SHLIR_demographics_ode . SHLIR_ode . SHLITR_demographics_ode . SHLITR_ode . SHLITR_risk_demographics_ode . SHLITR_risk_ode . SIRS_demographics_ode . SIRS_ode . SIRS_vaccination_demographics_ode . SIRS_vaccination_ode . SIR_demographics_ode . SIR_ode . SIR_vaccination_demographics_ode . SIR_vaccination_ode . SIS_demographics_ode . SIS_ode . SI_demographics_ode . SI_ode . add_pointer_struct . aggregate_model . aggregate_model_internal . combine_strat_model_output . combine_to_age_model . estimate_norm_dist_from_ci . gather_strat_multi_variable . gather_strat_variable . generate_parameter_permutations . idmodelr-package . model_details . model_df_to_vector . parameter_details . plot_model . required_parameters . scenario_analysis . simulate_model . solve_ode . summarise_model . summarise_strat_var . summarise_var_by_strat . 
Some associated R codes: SEI.R . SEIR.R . SEIRS.R . SEIS.R . SHLIR.R . SHLITR.R . SI.R . SIR.R . SIRS.R . SIS.R . add_pointer_struct.R . aggregate_model.R . aggregate_model_internal.R . combine_strat_model_output.R . combine_to_age_model.R . estimate_norm_dist_from_ci.R . gather_strat_multi_variable.R . gather_strat_variable.R . generate_parameter_permutations.R . idmodelr.R . model_details.R . model_df_to_vector.R . parameter_details.R . plot_model.R . required_parameters.R . scenario_analysis.R . simulate_model.R . solve.R . summarise_model.R . summarise_strat_var.R . summarise_var_by_strat.R .  Full idmodelr package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA