Package: niaidMI 1.1.0

niaidMI: Markov Model Multiple Imputation for NIAID OS

The implementation of Markov Model Multiple Imputation with the application to COVID-19 scale, NIAID OS.

Authors:Nathan Morris [aut, cre], Chaoran Hu [aut], Eli Lilly and Company [cph]

niaidMI_1.1.0.tar.gz
niaidMI_1.1.0.zip(r-4.7-x86_64)niaidMI_1.1.0.zip(r-4.7-arm64)niaidMI_1.1.0.zip(r-4.6-x86_64)niaidMI_1.1.0.zip(r-4.6-arm64)niaidMI_1.1.0.zip(r-4.5-x86_64)
niaidMI_1.1.0.tgz(r-4.6-x86_64)niaidMI_1.1.0.tgz(r-4.6-arm64)niaidMI_1.1.0.tgz(r-4.5-x86_64)niaidMI_1.1.0.tgz(r-4.5-arm64)
niaidMI_1.1.0.tar.gz(r-4.7-arm64)niaidMI_1.1.0.tar.gz(r-4.7-x86_64)niaidMI_1.1.0.tar.gz(r-4.6-arm64)niaidMI_1.1.0.tar.gz(r-4.6-x86_64)
niaidMI_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
niaidMI/json (API)

# Install 'niaidMI' in R:
install.packages('niaidMI', repos = c('https://nmorris-lilly.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.00 score 4 scripts 262 downloads 5 exports 1 dependencies

Last updated from:2d224395d1. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE168
linux-devel-x86_64NOTE139
source / vignettesOK253
linux-release-arm64NOTE169
linux-release-x86_64NOTE204
macos-release-arm64NOTE287
macos-release-x86_64NOTE324
macos-oldrel-arm64NOTE221
macos-oldrel-x86_64NOTE400
windows-devel-arm64NOTE405
windows-devel-x86_64NOTE207
windows-release-arm64NOTE394
windows-release-x86_64NOTE148
windows-oldrel-x86_64NOTE155
wasm-releaseOK93

Exports:bootstrap_param_estget_emissionimputeimpute_refsim_data

Dependencies:Rcpp