Package: qape 2.1
Alicja Wolny-Dominiak
qape: Quantile of Absolute Prediction Errors
Estimates QAPE using bootstrap procedures. The residual, parametric and double bootstrap is used. The test of normality using Cholesky decomposition is added. Y pop is defined.
Authors:
qape_2.1.tar.gz
qape_2.1.tar.gz(r-4.5-noble)qape_2.1.tar.gz(r-4.4-noble)
qape_2.1.tgz(r-4.4-emscripten)qape_2.1.tgz(r-4.3-emscripten)
qape.pdf |qape.html✨
qape/json (API)
# Install 'qape' in R: |
install.packages('qape', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- invData - Population data - investments in Poland at NUTS 4 level
- realestData - Population data - real estate in Poland at NUTS 4 level
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:3fd1292c2d. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 14 2024 |
R-4.5-linux | NOTE | Oct 14 2024 |
Exports:bootParbootParFuturebootParFutureCorbootParMisbootResbootResFuturebootResMiscorrectioncorrRancompcorrRanefdoubleBootdoubleBootFuturedoubleBootMisEBLUPebpLMMneEmpCMEstCMmcBootMismcLMMmismodifyDatasetnormCholTestplugInLMMprint.EBLUPprint.ebpLMMneprint.plugInLMMquantileNaNsrswrResummary.EBLUPsummary.ebpLMMnesummary.plugInLMMZfun
Dependencies:bootclicodetoolsdigestdplyrfansifuturefuture.applygenericsglobalsgluelatticelifecyclelistenvlme4magrittrMASSMatrixmatrixcalcminqamvtnormnlmenloptrparallellypillarpkgconfigplyrR6RcppRcppEigenreshape2rlangstringistringrtibbletidyselectutf8vctrswithr