Imperial 2019-nCoV

Internal packages that are not yet (and in some cases ever) going on CRAN

Packages

  • ascertainr (v 0.0.0.9000, ): Case Ascertainment Model
  • assessr (v 1.0.0, ): Performance metrics for probabilitic forecasts
  • dde (v 1.0.3, ): Solve Delay Differential Equations
  • dust (v 0.13.2, ): Iterate Multiple Realisations of Stochastic Models
  • eigen1 (v 0.1.3, ): Leading Eigenvalue Calculation
  • epidemia (v 0.5.3, ): Modeling of Epidemics using Hierarchical Bayesian Models
  • EpiEstim (v 2.1-0, ): EpiEstim: a package to estimate time varying reproduction numbers from epidemic curves
  • fstorr (v 0.1.0, ): File Storage
  • hermione (v 1.0.0, ): Robust estimation of COVID-19 Serial Interval
  • mcstate (v 0.9.14, ): Monte Carlo Methods for State Space Models
  • mode (v 0.1.14, ): Solve Multiple ODEs
  • nimue (v 0.1.22, ): COVID-19 Vaccine Modelling
  • odin (v 1.4.4, ): ODE Generation and Integration
  • odin.dust (v 0.3.0, ): Compile Odin to Dust
  • odin.js (v 0.1.11, ): 'odin' 'JavaScript' support
  • orderly (v 1.5.1, ): Lightweight Reproducible Reporting
  • orderly.rstudio (v 0.0.3, ): RStudio addins for orderly
  • orderly.sharepoint (v 0.1.4, ): Sharepoint Driver for Orderly
  • orderlyweb (v 0.1.15, ): Orderly Support for 'OrderlyWeb'
  • pika (v 0.1.1, ): Evaluate Correlation Between Time Series
  • projections (v 0.3.0, ): Project Future Case Incidence
  • rincewind (v 1.4.7, ): Utilities for processing forecasts matrices
  • sircovid (v 0.14.11, ): SIR Model for COVID-19
  • sowsear (v 0.1-1, ): Report generation from plain R scripts
  • spimalot (v 0.8.21, ): Support for 'sircovid'
  • spud (v 0.1.7, ): Sharepoint upload & download
  • squire (v 0.7.1, ): SEIR transmission model of COVID-19
  • vaultr (v 1.1.1, ): Vault Client for Secrets and Sensitive Data
  • weighter (v 0.0.1, ): Model averaging

If drat is not installed, first install from CRAN with

install.packages("drat")

To install packages, run

drat:::add("ncov-ic")

after which packages can be installed as usual, for example:

install.packages("orderly")