Package: Greymodels 2.0.1
Greymodels: Shiny App for Grey Forecasting Model
The 'Greymodels' Shiny app is an interactive interface for statistical modelling and forecasting using grey-based models. It covers several state-of-the-art univariate and multivariate grey models. A user friendly interface allows users to easily compare the performance of different models for prediction and among others, visualize graphical plots of predicted values within user chosen confidence intervals. Chang, C. (2019) <doi:10.24818/18423264/53.1.19.11>, Li, K., Zhang, T. (2019) <doi:10.1007/s12667-019-00344-0>, Ou, S. (2012) <doi:10.1016/j.compag.2012.03.007>, Li, S., Zhou, M., Meng, W., Zhou, W. (2019) <doi:10.1080/23307706.2019.1666310>, Xie, N., Liu, S. (2009) <doi:10.1016/j.apm.2008.01.011>, Shao, Y., Su, H. (2012) <doi:10.1016/j.aasri.2012.06.003>, Xie, N., Liu, S., Yang, Y., Yuan, C. (2013) <doi:10.1016/j.apm.2012.10.037>, Li, S., Miao, Y., Li, G., Ikram, M. (2020) <doi:10.1016/j.matcom.2019.12.020>, Che, X., Luo, Y., He, Z. (2013) <doi:10.4028/www.scientific.net/AMM.364.207>, Zhu, J., Xu, Y., Leng, H., Tang, H., Gong, H., Zhang, Z. (2016) <doi:10.1109/appeec.2016.7779929>, Luo, Y., Liao, D. (2012) <doi:10.4028/www.scientific.net/AMR.507.265>, Bilgil, H. (2020) <doi:10.3934/math.2021091>, Li, D., Chang, C., Chen, W., Chen, C. (2011) <doi:10.1016/j.apm.2011.04.006>, Chen, C. (2008) <doi:10.1016/j.chaos.2006.08.024>, Zhou, W., Pei, L. (2020) <doi:10.1007/s00500-019-04248-0>, Xiao, X., Duan, H. (2020) <doi:10.1016/j.engappai.2019.103350>, Xu, N., Dang, Y. (2015) <doi:10.1155/2015/606707>, Chen, P., Yu, H.(2014) <doi:10.1155/2014/242809>, Zeng, B., Li, S., Meng, W., Zhang, D. (2019) <doi:10.1371/journal.pone.0221333>, Liu, L., Wu, L. (2021) <doi:10.1016/j.apm.2020.08.080>, Hu, Y. (2020) <doi:10.1007/s00500-020-04765-3>, Zhou, P., Ang, B., Poh, K. (2006) <doi:10.1016/j.energy.2005.12.002>, Cheng, M., Li, J., Liu, Y., Liu, B. (2020) <doi:10.3390/su12020698>, Wang, H., Wang, P., Senel, M., Li, T. (2019) <doi:10.1155/2019/9049815>, Ding, S., Li, R. (2020) <doi:10.1155/2020/4564653>, Zeng, B., Li, C. (2018) <doi:10.1016/j.cie.2018.02.042>, Xie, N., Liu, S. (2015) <doi:10.1109/JSEE.2015.00013>, Zeng, X., Yan, S., He, F., Shi, Y. (2019) <doi:10.1016/j.apm.2019.11.032>.
Authors:
Greymodels_2.0.1.tar.gz
Greymodels_2.0.1.zip(r-4.5)Greymodels_2.0.1.zip(r-4.4)Greymodels_2.0.1.zip(r-4.3)
Greymodels_2.0.1.tgz(r-4.4-any)Greymodels_2.0.1.tgz(r-4.3-any)
Greymodels_2.0.1.tar.gz(r-4.5-noble)Greymodels_2.0.1.tar.gz(r-4.4-noble)
Greymodels_2.0.1.tgz(r-4.4-emscripten)Greymodels_2.0.1.tgz(r-4.3-emscripten)
Greymodels.pdf |Greymodels.html✨
Greymodels/json (API)
# Install 'Greymodels' in R: |
install.packages('Greymodels', repos = c('https://havishaj.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/havishaj/greymodels/issues
Last updated 2 years agofrom:3fc19ebe91. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | WARNING | Nov 20 2024 |
R-4.5-linux | WARNING | Nov 20 2024 |
R-4.4-win | WARNING | Nov 20 2024 |
R-4.4-mac | WARNING | Nov 20 2024 |
R-4.3-win | WARNING | Nov 20 2024 |
R-4.3-mac | WARNING | Nov 20 2024 |
Exports:andgm11CI_igndgmCI_mdbgmCI_nhmgmpCI_rmCIvaluedbgm12dgm11dgm21egm11egm11repgm11exgm11ggvm11gm11gm114gm13gmc12gmcg12gom11gomia11igm11igm13igndgm12mdbgm12ndgm11ngbm11ngm11kngm11kcnhmgm1nhmgm2odgm21ongm11kcoptim_andgmoptim_egm11roptim_psogmplotrmplotsplots_mdbgm12plotsigndgmplotsmv1plotsmv2psogm11remnantgm11run_appserversogm21tbgm11tfdgm11tgm11uiungom11vssgm11
Dependencies:askpassbase64encbslibcachemcellrangerclicmnacolorspacecommonmarkcpp11crayoncrosstalkcurldata.tabledigestdplyrevaluateexpmfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoiseMetricsmgcvmimemunsellnlmeopensslparticle.swarm.optimisationpillarpkgconfigplotlyprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppreadxlrematchrglrlangrmarkdownsassscalesshinyshinydashboardshinyWidgetssourcetoolsstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml
Readme and manuals
Help Manual
Help page | Topics |
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Runs the Shiny app | run_app server ui |
Improved background values | BackgroundValues epgm11 gm11 gm114 igm11 tbgm11 |
Combined models | CombinedModels ggvm11 ngbm11 tfdgm11 |
Confidence interval of predicted values | CIvalue CI_igndgm CI_mdbgm CI_nhmgmp CI_rm ConfidenceInterval |
Extended forms of grey models | dgm11 dgm21 egm11 exgm11 ExtendedForms gom11 gomia11 ndgm11 odgm21 ungom11 vssgm11 |
Multivariate interval sequences | igndgm12 IntervalMultivariable mdbgm12 |
Multivariate sequences | dbgm12 gm13 gmc12 gmcg12 igm13 Multivariable nhmgm1 nhmgm2 |
Optimization-based grey models | andgm11 egm11r Optimization optim_andgm optim_egm11r optim_psogm psogm11 |
Parameters estimation | ngm11k ngm11kc ongm11kc ParametersEstimation sogm21 |
plots | plotrm plots plotsigndgm plotsmv1 plotsmv2 plots_mdbgm12 |
Residual modification | remnantgm11 ResidualModification tgm11 |