Details view: R Packages

Views
Add
Edit
- Edit page
- Delete page
Share
Login
- Member login
- Register now for a free account
🔎

R Packages Option1 #707864 List of ten most popular R packages in infectious disease modelling as measured by the pkgsearch package (on 2021-06-09).

CONTEXT(Help)

EIDM »EIDM EIDM ☜The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1]☜F1CEB7

▲

Software »SoftwareSoftware☜Learn more about the software being used across the EIDM network.☜C78CB7

▲

Software languages »Software languagesSoftware languages☜☜76A4CF

▲

R »RR☜☜76A4CF

■

R PackagesR Packages☜List of ten most popular R packages in infectious disease modelling as measured by the pkgsearch package (on 2021-06-09).☜76A4CF

●

EpiModel »EpiModelEpiModel☜EpiModel is an R package that provides tools for simulating and analyzing mathematical models of infectious disease dynamics. Supported epidemic model classes include deterministic compartmental models, stochastic individual contact models, and stochastic network models. Disease types include SI, SIR, and SIS epidemics with and without demography, with utilities available for expansion to construct and simulate epidemic models of arbitrary complexity. [1]☜C78CB7

●

epitrix »epitrixepitrix☜A collection of small functions useful for epidemics analysis and infectious disease modelling. This includes computation of basic reproduction numbers from growth rates, generation of hashed labels to anonymize data, and fitting discretized Gamma distributions. [2]☜C78CB7

●

hhh4contacts »hhh4contactshhh4contacts☜Age-Structured Spatio-Temporal Models for Infectious Disease Counts – Meyer and Held (2017) present an age-structured spatio-temporal model for infectious disease counts. The approach is illustrated in a case study on norovirus gastroenteritis in Berlin, 2011-2015, by age group, city district and week, using additional contact data from the POLYMOD survey. [2]☜C78CB7

●

ibmcraftr »ibmcraftribmcraftr☜Toolkits to Develop Individual-Based Models in Infectious Disease – It provides a generic set of tools for initializing a synthetic population with each individual in specific disease states, and making transitions between those disease states according to the rates calculated on each timestep. The new version 1.0.0 has C++ code integration to make the functions run faster. It has also a higher level function to actually run the transitions for the number of timesteps that users specify. [1]☜C78CB7

●

idmodelr »idmodelridmodelr☜The primary aim of idmodelr is to provide a library of infectious disease models for researchers. 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. [1]☜C78CB7

●

pspline.inference »pspline.inferencepspline.inference☜Estimation of Characteristics of Seasonal and Sporadic Infectious Disease Outbreaks Using Generalized Additive Modeling with Penalized Basis Splines. [1]☜C78CB7

●

shinySIR »shinySIRshinySIR☜Interactive Plotting for Mathematical Models of Infectious Disease Spread – Provides interactive plotting for mathematical models of infectious disease spread. Users can choose from a variety of common built-in ordinary differential equation (ODE) models (such as the SIR, SIRS, and SIS models), or create their own. This latter flexibility allows shinySIR to be applied to simple ODEs from any discipline. [1]☜C78CB7

●

SimBIID »SimBIIDSimBIID☜Simulation-Based Inference Methods for Infectious Disease Model – Provides some code to run simulations of state-space models, and then use these in the Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) algorithm of Toni et al. (2009) and a bootstrap particle filter based particle Markov chain Monte Carlo (PMCMC) algorithm (Andrieu et al., 2010). Also provides functions to plot and summarise the outputs. [1]☜C78CB7

●

socialmixr »socialmixrsocialmixr☜Social Mixing Matrices for Infectious Disease Modelling — Provides methods for sampling contact matrices from diary data for use in infectious disease modelling, as discussed in Mossong et al. (2008)☜C78CB7

●

spread »spreadspread☜Infectious Disease Spread Models☜C78CB7

►

CANMOD – Tools »CANMOD – ToolsCANMOD – Tools☜List of tools created by CANMOD Members, as well as tools that are of particular relevance to CANMODs initiatives and mission.☜FFFACD

Heading

Summary

Click the button to enter task scheduling information

Details

Enter task details

Message text

Select assignee(s)

Due date (click calendar)

RadDatePicker

Open the calendar popup.

Calendar

Title and navigation
Title and navigation
<<	<	April 2024	>	<<

April 2024
	S	M	T	W	T	F	S
14	31	1	2	3	4	5	6
15	7	8	9	10	11	12	13
16	14	15	16	17	18	19	20
17	21	22	23	24	25	26	27
18	28	29	30	1	2	3	4
19	5	6	7	8	9	10	11

Reminder

Ready to post Copy to text

Task assignment(s) have been emailed and cannot now be altered

Lock

Comment graphing options

Choose comments:Comment onlyWhole threadAll comments

Choose location:To a new mapTo this map

New map options

Select map ontology Graph to private map

+Comments (0)

- CommentsAdd a commentNewest firstOldest firstShow threads

+Citations (0)

- CitationsAdd new citationList by: CiterankMap

+About

- About

Entered by:- David Price
NodeID: #707864
Node type: Option
Entry date (GMT): 1/30/2023 5:05:00 PM
Last edit date (GMT): 1/30/2023 5:05:00 PM
Show other editors
Incoming cross-relations: 0
Outgoing cross-relations: 1
Average rating: 0 by 0 users

x Select file to upload