Package: Greymodels 2.0.1

Jahajeeah Havisha

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:Jahajeeah Havisha [aut, cre], Saib Aslam Aly [aut]

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'))

Peer review:

Bug tracker:https://github.com/havishaj/greymodels/issues

On CRAN:

3.30 score 4 stars 227 downloads 53 exports 89 dependencies

Last updated 2 years agofrom:3fc19ebe91. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winWARNINGNov 20 2024
R-4.5-linuxWARNINGNov 20 2024
R-4.4-winWARNINGNov 20 2024
R-4.4-macWARNINGNov 20 2024
R-4.3-winWARNINGNov 20 2024
R-4.3-macWARNINGNov 20 2024

Exports:andgm11CI_igndgmCI_mdbgmCI_nhmgmpCI_rmCIvaluedbgm12dgm11dgm21egm11egm11repgm11exgm11ggvm11gm11gm114gm13gmc12gmcg12gom11gomia11igm11igm13igndgm12mdbgm12ndgm11ngbm11ngm11kngm11kcnhmgm1nhmgm2odgm21ongm11kcoptim_andgmoptim_egm11roptim_psogmplotrmplotsplots_mdbgm12plotsigndgmplotsmv1plotsmv2psogm11remnantgm11run_appserversogm21tbgm11tfdgm11tgm11uiungom11vssgm11

Dependencies:askpassbase64encbslibcachemcellrangerclicmnacolorspacecommonmarkcpp11crayoncrosstalkcurldata.tabledigestdplyrevaluateexpmfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoiseMetricsmgcvmimemunsellnlmeopensslparticle.swarm.optimisationpillarpkgconfigplotlyprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppreadxlrematchrglrlangrmarkdownsassscalesshinyshinydashboardshinyWidgetssourcetoolsstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml

Readme and manuals

Help Manual

Help pageTopics
Runs the Shiny apprun_app server ui
Improved background valuesBackgroundValues epgm11 gm11 gm114 igm11 tbgm11
Combined modelsCombinedModels ggvm11 ngbm11 tfdgm11
Confidence interval of predicted valuesCIvalue CI_igndgm CI_mdbgm CI_nhmgmp CI_rm ConfidenceInterval
Extended forms of grey modelsdgm11 dgm21 egm11 exgm11 ExtendedForms gom11 gomia11 ndgm11 odgm21 ungom11 vssgm11
Multivariate interval sequencesigndgm12 IntervalMultivariable mdbgm12
Multivariate sequencesdbgm12 gm13 gmc12 gmcg12 igm13 Multivariable nhmgm1 nhmgm2
Optimization-based grey modelsandgm11 egm11r Optimization optim_andgm optim_egm11r optim_psogm psogm11
Parameters estimationngm11k ngm11kc ongm11kc ParametersEstimation sogm21
plotsplotrm plots plotsigndgm plotsmv1 plotsmv2 plots_mdbgm12
Residual modificationremnantgm11 ResidualModification tgm11