Package: multimput 0.2.13
multimput: Using Multiple Imputation to Address Missing Data
Accompanying package for the paper: Working with population totals in the presence of missing data comparing imputation methods in terms of bias and precision. Published in 2017 in the Journal of Ornithology volume 158 page 603–615 (<doi:10.1007/s10336-016-1404-9>).
Authors:
multimput_0.2.13.tar.gz
multimput_0.2.13.zip(r-4.5)multimput_0.2.13.zip(r-4.4)multimput_0.2.13.zip(r-4.3)
multimput_0.2.13.tgz(r-4.4-any)multimput_0.2.13.tgz(r-4.3-any)
multimput_0.2.13.tar.gz(r-4.5-noble)multimput_0.2.13.tar.gz(r-4.4-noble)
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multimput.pdf |multimput.html✨
multimput/json (API)
# Install 'multimput' in R: |
install.packages('multimput', repos = c('https://inbo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/inbo/multimput/issues
- waterfowl - The observation pattern in the Flemish waterfowl dataset
Last updated 12 months agofrom:1b1fd170bf. Checks:ERROR: 5 WARNING: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Aug 26 2024 |
R-4.5-win | ERROR | Aug 26 2024 |
R-4.5-linux | ERROR | Aug 26 2024 |
R-4.4-win | ERROR | Aug 26 2024 |
R-4.4-mac | ERROR | Aug 26 2024 |
R-4.3-win | WARNING | Aug 26 2024 |
R-4.3-mac | WARNING | Aug 26 2024 |
Exports:aggregate_imputegenerate_datagenerateDatahurdle_imputeimputemissing_at_randommissing_current_countmissing_observedmissing_volunteermissingAtRandommissingCurrentCountmissingObservedmissingVolunteermodel_impute
Dependencies:assertthatbootclicpp11digestdplyrfansigenericsgluelatticelifecyclelme4magrittrMASSMatrixminqamvtnormnlmenloptrpillarpkgconfigpurrrR6RcppRcppEigenrlangstringistringrtibbletidyrtidyselectutf8vctrswithr