Package: EpiLPS 1.4.0

EpiLPS: A Fast and Flexible Bayesian Tool for Estimating Epidemiological Parameters

Estimation of epidemiological parameters with Laplacian-P-splines following the methodology of Gressani et al. (2022) <doi:10.1371/journal.pcbi.1010618>.

Authors:Oswaldo Gressani [aut, cre], Bryan Sumalinab [ctb]

EpiLPS_1.4.0.tar.gz
EpiLPS_1.4.0.zip(r-4.7)EpiLPS_1.4.0.zip(r-4.6)EpiLPS_1.4.0.zip(r-4.5)
EpiLPS_1.4.0.tgz(r-4.6-x86_64)EpiLPS_1.4.0.tgz(r-4.6-arm64)EpiLPS_1.4.0.tgz(r-4.5-x86_64)EpiLPS_1.4.0.tgz(r-4.5-arm64)
EpiLPS_1.4.0.tar.gz(r-4.7-arm64)EpiLPS_1.4.0.tar.gz(r-4.7-x86_64)EpiLPS_1.4.0.tar.gz(r-4.6-arm64)EpiLPS_1.4.0.tar.gz(r-4.6-x86_64)
EpiLPS_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
EpiLPS/json (API)

# Install 'EpiLPS' in R:
install.packages('EpiLPS', repos = c('https://oswaldogressani.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/oswaldogressani/epilps/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

openblascppopenmp

4.44 score 21 stars 26 scripts 440 downloads 12 exports 40 dependencies

Last updated from:cece691109. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK191
linux-devel-x86_64OK195
source / vignettesOK244
linux-release-arm64OK196
linux-release-x86_64OK182
macos-release-arm64OK119
macos-release-x86_64OK226
macos-oldrel-arm64OK100
macos-oldrel-x86_64OK203
windows-develOK153
windows-releaseOK177
windows-oldrelOK161
wasm-releaseOK192

Exports:epicurveepisimestimIncubestimRestimRmcmchistosmoothIdistincubsimnowcastingnowcastingRperfRestimRmodelpriors

Dependencies:aweekclicoarseDataToolscodacpp11EpiEstimfarverfitdistrplusggplot2gluegridExtragtableincidenceisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackplyrquantregR6RColorBrewerRcppRcppArmadilloreshape2rlangS7scalesSparseMstringistringrsurvivalvctrsviridisLitewithr