This package is considered a duplicate. The official version of this package is found at:https://vharntzen.r-universe.dev/doublIn

Package: doublIn 0.2.0

Vera Arntzen

doublIn: Estimate Incubation or Latency Time using Doubly Interval Censored Observations

Visualize contact tracing data using a 'shiny' app and estimate the incubation or latency time of an infectious disease respecting the following characteristics in the analysis; (i) doubly interval censoring with (partly) overlapping or distinct windows; (ii) an infection risk corresponding to exponential growth; (iii) right truncation allowing for individual truncation times; (iv) different choices concerning the family of the distribution. For our earlier work, we refer to Arntzen et al. (2023) <doi:10.1002/sim.9726>. A paper describing our approach in detail will follow.

Authors:Vera Arntzen [aut, cre]

doublIn_0.2.0.tar.gz
doublIn_0.2.0.tar.gz(r-4.5-noble)doublIn_0.2.0.tar.gz(r-4.4-noble)
doublIn_0.2.0.tgz(r-4.4-emscripten)doublIn_0.2.0.tgz(r-4.3-emscripten)
doublIn.pdf |doublIn.html✨
doublIn/json (API)

# Install 'doublIn' in R:

install.packages('doublIn', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

jags– Just Another Gibbs Sampler for Bayesian MCMC
c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jags cpp

1.30 score 3 scripts 520 downloads 3 exports 145 dependencies

Last updated 6 months agofrom:c82e8ee6f9. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Dec 17 2024
R-4.5-linux	OK	Dec 17 2024

Exports:Estimate_doublIn Plot_doublIn Visualize_contact_tracing_data

Dependencies:askpass assertthat backports base64enc bbmle bdsmatrix BH bit bit64 blob broom bslib cachem callr cellranger cli clipr coda colorspace commonmark conflicted cpp11 crayon crosstalk curl data.table DBI dbplyr deSolve digest dplyr DT dtplyr epicontacts evaluate fansi farver fastGHQuad fastmap flexsurv fontawesome forcats fs gargle generics ggplot2 glue googledrive googlesheets4 gtable haven highr hms htmltools htmlwidgets httpuv httr ids igraph isoband jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle lubridate magrittr MASS Matrix memoise mgcv mime modelr mstate mStats muhaz munsell mvtnorm nlme numDeriv openssl pillar pkgconfig plotly prettyunits processx progress promises ps purrr quadprog R6 ragg rappdirs RColorBrewer Rcpp RcppArmadillo readr readxl rematch rematch2 reprex rjags rlang rmarkdown rstpm2 rstudioapi rvest sass scales selectr shiny shinydashboard shinythemes shinyWidgets sourcetools statmod stringi stringr survival sys systemfonts textshaping threejs tibble tidyr tidyselect tidyverse timechange tinytex tzdb utf8 uuid vctrs viridisLite visNetwork vroom withr xfun xml2 xtable yaml

Help page	Topics
Estimate the incubation or latency time of an infectious disease, i.e. a doubly interval censored time-to-event	Estimate_doublIn
Plot the incubation or latency time distribution	Plot_doublIn
Visualize contact tracing data	Visualize_contact_tracing_data

Package: doublIn 0.2.0

doublIn: Estimate Incubation or Latency Time using Doubly Interval Censored Observations

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