Package: nonprobsvy 0.1.0

Łukasz Chrostowski

nonprobsvy: Inference Based on Non-Probability Samples

Statistical inference with non-probability samples when auxiliary information from external sources such as probability samples or population totals or means is available. Details can be found in: Wu et al. (2020) <doi:10.1080/01621459.2019.1677241>, Kim et al. (2021) <doi:10.1111/rssa.12696>, Wu et al. (2023) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022002/article/00002-eng.htm>, Kim et al. (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021001/article/00004-eng.htm>, Kim et al. (2020) <doi:10.1111/rssb.12354>.

Authors:Łukasz Chrostowski [aut, cre], Maciej Beręsewicz [aut, ctb], Piotr Chlebicki [ctb]

nonprobsvy_0.1.0.tar.gz
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nonprobsvy.pdf |nonprobsvy.html✨
nonprobsvy/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/ncn-foreigners/nonprobsvy/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

2.20 score 32 scripts 228 downloads 9 exports 25 dependencies

Last updated 7 months agofrom:81b7b770a5. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 02 2024
R-4.5-linux-x86_64OKOct 02 2024

Exports:cloglog_model_nonprobsvycontrolInfcontrolOutcontrolSelgenSimDatalogit_model_nonprobsvynonprobpop.sizeprobit_model_nonprobsvy

Dependencies:codetoolsDBIdigestdoParallelforeachgenericsiteratorslatticeMASSmathjaxrMatrixmaxLikminqamiscToolsmitoolsncvregnleqslvnumDerivRANNRcppRcppArmadillosandwichsurveysurvivalzoo