Other packages > Find by keyword >

MicroMoB  

Discrete Time Simulation of Mosquito-Borne Pathogen Transmission
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MicroMoB", "0.1.2")



Attach the package and use:
library("MicroMoB")
Maintained by
Sean L. Wu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-01
Latest Update: 2023-01-17
Description:
Provides a framework based on S3 dispatch for constructing models of mosquito-borne pathogen transmission which are constructed from submodels of various components (i.e. immature and adult mosquitoes, human populations). A consistent mathematical expression for the distribution of bites on hosts means that different models (stochastic, deterministic, etc.) can be coherently incorporated and updated over a discrete time step.
How to cite:
Sean L. Wu (2022). MicroMoB: Discrete Time Simulation of Mosquito-Borne Pathogen Transmission. R package version 0.1.2, https://cran.r-project.org/web/packages/MicroMoB. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.9 (2022-02-01 10:00), 0.0.11 (2022-03-09 01:50), 0.0.12 (2022-03-17 22:10), 0.1.0 (2022-07-01 21:10)
Other packages that cited MicroMoB R package
View MicroMoB citation profile
Other R packages that MicroMoB depends, imports, suggests or enhances
Complete documentation for MicroMoB
Functions, R codes and Examples using the MicroMoB R package
Some associated functions: MicroMoB . api_config_global . approx_equal . compute_H.MOI . compute_H.SIP . compute_H.SIR . compute_H.SIS . compute_H . compute_O . compute_O.trace . compute_Psi.MOI . compute_Psi.SIP . compute_Psi.SIR . compute_Psi.SIS . compute_Psi . compute_Wd . compute_Wd.trace . compute_Z.BQ . compute_Z.RM . compute_Z . compute_Z.trace . compute_bloodmeal . compute_bloodmeal_simple . compute_emergents.BH . compute_emergents . compute_emergents.trace . compute_emergents.trace_deterministic . compute_emergents.trace_stochastic . compute_f.BQ . compute_f.RM . compute_f . compute_f.trace . compute_oviposit.BQ . compute_oviposit.BQ_deterministic . compute_oviposit.BQ_stochastic . compute_oviposit.RM . compute_oviposit.RM_deterministic . compute_oviposit.RM_stochastic . compute_oviposit . compute_oviposit.trace . compute_q.BQ . compute_q.RM . compute_q . compute_q.trace . compute_wf.MOI . compute_wf.SIP . compute_wf.SIR . compute_wf.SIS . compute_wf . compute_x.MOI . compute_x.SIP . compute_x.SIR . compute_x.SIS . compute_x . compute_xd . compute_xd.trace . distribute . divmod . draw_multinom . get_K_aqua_BH . get_config_alternative_trace . get_config_aqua_BH . get_config_aqua_trace . get_config_humans_MOI . get_config_humans_SIR . get_config_humans_SIS . get_config_mosquito_RM . get_config_mosquito_trace . get_config_visitor_trace . get_eip_mosquito_RM . get_f_mosquito_RM . get_kappa_mosquito_RM . get_lambda_aqua_trace . get_molt_aqua_BH . get_nu_mosquito_RM . get_p_mosquito_RM . get_psi_mosquito_RM . get_q_mosquito_RM . get_surv_aqua_BH . get_tmax . get_tnow . is_binary . make_MicroMoB . observe_pfpr.SIP . observe_pfpr.SIS . observe_pfpr . output_aqua.BH . output_aqua . output_aqua.trace . output_mosquitoes.RM . output_mosquitoes . output_mosquitoes.trace . sample_stochastic_matrix . sample_stochastic_vector . set_K_aqua_BH . set_eip_mosquito_RM . set_f_mosquito_RM . set_kappa_mosquito_RM . set_lambda_aqua_trace . set_molt_aqua_BH . set_nu_mosquito_RM . set_p_mosquito_RM . set_psi_mosquito_RM . set_q_mosquito_RM . set_surv_aqua_BH . setup_alternative_trace . setup_aqua_BH . setup_aqua_trace . setup_humans_MOI . setup_humans_SIP . setup_humans_SIR . setup_humans_SIS . setup_mosquito_BQ . setup_mosquito_RM . setup_mosquito_trace . setup_visitor_trace . step_aqua.BH . step_aqua.BH_deterministic . step_aqua.BH_stochastic . step_aqua . step_aqua.trace . step_humans.MOI . step_humans.MOI_deterministic . step_humans.MOI_stochastic . step_humans.SIP . step_humans.SIP_deterministic . step_humans.SIP_stochastic . step_humans.SIR . step_humans.SIR_deterministic . step_humans.SIR_stochastic . step_humans.SIS . step_humans.SIS_deterministic . step_humans.SIS_stochastic . step_humans . step_mosquitoes.BQ . step_mosquitoes.BQ_deterministic . step_mosquitoes.BQ_stochastic . step_mosquitoes.RM . step_mosquitoes.RM_deterministic . step_mosquitoes.RM_stochastic . step_mosquitoes . step_mosquitoes.trace . strata_to_residency_counts . strata_to_residency_proportion . time_patch_varying_parameter . time_varying_parameter . 
Some associated R codes: MicroMoB.R . ModelObject.R . api_mosquito.R . aquatic_BH.R . aquatic_BH_API.R . aquatic_interface.R . aquatic_trace.R . aquatic_trace_API.R . bloodmeal.R . humans_MOI.R . humans_SIP.R . humans_SIR.R . humans_SIS.R . humans_interface.R . mosquito_BQ.R . mosquito_RM.R . mosquito_RM_API.R . mosquito_interface.R . mosquito_trace.R . observation.R . other_interface.R . other_trace.R . utils.R . utils_internal.R . visitor_interface.R . visitor_trace.R .  Full MicroMoB 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

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  
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  
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  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
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  

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