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anovir
View on CRAN: Click
here
Download and install anovir package within the R console
Install from CRAN:
install.packages("anovir")
Install from Github:
library("remotes")
install_github("cran/anovir") Install by package version:
library("remotes")
install_version("anovir", "0.1.0") Attach the package and use:
library("anovir")
Maintained by
Philip Agnew
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-24
Latest Update: 2020-10-24
Description:
Epidemiological population dynamics models traditionally define
a pathogen's virulence as the increase in the per capita rate of mortality
of infected hosts due to infection. This package provides functions
allowing virulence to be estimated by maximum likelihood techniques. The
approach is based on the analysis of relative survival comparing survival
in matching cohorts of infected vs. uninfected hosts (Agnew 2019)
.
How to cite:
Philip Agnew (2020). anovir: Analysis of Virulence. R package version 0.1.0, https://cran.r-project.org/web/packages/anovir. Accessed 11 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for anovir
Functions, R codes and Examples using
the anovir R package
Some associated functions: anovir-package . av_long_infected . av_long_uninfected . check_data . conf_ints_virulence . data_blanford . data_lorenz . data_parker . etd_infected . etd_uninfected . nll_basic . nll_basic_logscale . nll_controls . nll_exposed_infected . nll_frailty . nll_frailty_correlated . nll_frailty_logscale . nll_frailty_shared . nll_proportional_virulence . nll_recovery . nll_recovery_II . nll_two_inf_subpops_obs . nll_two_inf_subpops_unobs . recovery_data . recovery_data_II . sim_data_nll_basic .
Some associated R codes: anovir-package.R . data_descriptions.R . main.R . nll_frailty_correlated.R . nll_functions.R . nll_recovery.R . nll_recovery_II.R . play_file.R . private_functions.R . Full anovir package functions and examples
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