Files in Meiqian-Chen/GraphCpClust
This package is used to implement the change point estimation method and graph-based clustering method introduced in the three papers, and provide related data analysis.

.DS_Store

.Rbuildignore

.gitignore

DESCRIPTION

NAMESPACE

PathCpClust.Rproj

R/CpBeeCell.R R/CpCOVID.R R/Distance.data_cell_bee.R R/Distance.data_covid.R R/Hpath_cell_bee.R R/Hpath_covid.R R/LogPLotChina.R R/LogPLotCountry.R R/PathClust.R R/RcppExports.R R/SimulationData.R R/SimulationPlot.R R/datasets.r R/path.kruskal_cell_bee.R R/path.kruskal_covid.R

README.html

README.md

code_and_data_in_paper/.DS_Store

code_and_data_in_paper/fig2_3_simulation/Clustering comparison.R code_and_data_in_paper/fig2_3_simulation/Plot of clustering comparison.R

code_and_data_in_paper/fig2_3_simulation/REg.rds

code_and_data_in_paper/fig2_3_simulation/REg2.rds

code_and_data_in_paper/fig2_3_simulation/REg3.rds

code_and_data_in_paper/fig2_3_simulation/REm.rds

code_and_data_in_paper/fig2_3_simulation/REm2.rds

code_and_data_in_paper/fig2_3_simulation/REm3.rds

code_and_data_in_paper/fig4/.DS_Store

code_and_data_in_paper/fig4/fig4_clusters.R code_and_data_in_paper/fig5_CSAS_fitting/LogPLotChina.R code_and_data_in_paper/fig5_CSAS_fitting/LogPLotCountry.R

code_and_data_in_paper/fig5_CSAS_fitting/cluster_data.RData

code_and_data_in_paper/fig5_CSAS_fitting/origin_data.RData

code_and_data_in_paper/fig5_CSAS_fitting/test_new_a.cpp

code_and_data_in_paper/fig6_prediction_plot/pred_plot_data.RData

code_and_data_in_paper/fig6_prediction_plot/pred_plot_data_C.RData

code_and_data_in_paper/fig6_prediction_plot/prediction_plot.R code_and_data_in_paper/fig7_logistic_model/LogPLotChina_logistic_model.R code_and_data_in_paper/fig7_logistic_model/LogPLotCountry_logistic_model.R

code_and_data_in_paper/fig7_logistic_model/cluster_data.RData

code_and_data_in_paper/fig7_logistic_model/final_new_formula2.RData

code_and_data_in_paper/fig7_logistic_model/final_new_formula2_C.RData

code_and_data_in_paper/fig7_logistic_model/origin_data.RData

code_and_data_in_paper/fig7_logistic_model/test_new_a1.cpp

code_and_data_in_paper/fig8_plot_residual_logistic_and_CSAS/plot_residual_logistic_and_CSAS.R

code_and_data_in_paper/fig8_plot_residual_logistic_and_CSAS/residual_list2.RData

code_and_data_in_paper/fig8_plot_residual_logistic_and_CSAS/residual_list_C2.RData

code_and_data_in_paper/fig8_plot_residual_logistic_and_CSAS/residual_list_C_origin.RData

code_and_data_in_paper/fig8_plot_residual_logistic_and_CSAS/residual_list_origin.RData

code_and_data_in_paper/fig8_plot_residual_logistic_and_CSAS/residualplot.RData

code_and_data_in_paper/fig9_residual_DEFGH/cluster_data.RData

code_and_data_in_paper/fig9_residual_DEFGH/fig_8.eps

code_and_data_in_paper/fig9_residual_DEFGH/fig_of_residual_5plot.R

code_and_data_in_paper/fig9_residual_DEFGH/origin_data.RData

code_and_data_in_paper/fig9_residual_DEFGH/test_new_a.cpp

code_and_data_in_paper/fig9_residual_DEFGH/test_new_a1.cpp

code_and_data_in_paper/fig9_residuals_ABC/cluster_data.RData

code_and_data_in_paper/fig9_residuals_ABC/origin_data.RData

code_and_data_in_paper/fig9_residuals_ABC/residuals_from_CSAS.R

code_and_data_in_paper/fig9_residuals_ABC/residuals_from_CSAS.eps

code_and_data_in_paper/fig9_residuals_ABC/test_new_a.cpp

data/Data_bee_A1.RData

data/Data_bee_B1.RData

data/Data_cell.RData

data/cluster_data.RData

data/origin_data.RData

inst/extdata/REg.rds

inst/extdata/REg2.rds

inst/extdata/REg3.rds

inst/extdata/REm.rds

inst/extdata/REm2.rds

inst/extdata/REm3.rds

man/CpBeeCell.Rd man/CpCOVID.Rd man/Data.new.Rd man/Data.new_country.Rd man/Data_bee_A1.Rd man/Data_bee_B1.Rd man/Data_cell.Rd man/Date.Rd man/Distance.data_cell_bee.Rd man/Distance.data_covid.Rd man/GraphCpClust-package.Rd man/Hpath_cell_bee.Rd man/Hpath_covid.Rd man/IOS_country.Rd man/IOS_province.Rd man/LogPLotChina.Rd man/LogPLotCountry.Rd man/PathClust.Rd man/SimulationData.Rd man/SimulationPlot.Rd man/data_clust.Rd man/data_clust_C.Rd man/final.Rd man/final_C.Rd man/path.kruskal_cell_bee.Rd man/path.kruskal_covid.Rd

src/.gitignore

src/Makevars

src/Makevars.win

src/RcppExports.cpp

src/test_new_a.cpp

Meiqian-Chen/GraphCpClust documentation built on April 27, 2021, 10:40 a.m.

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Meiqian-Chen/GraphCpClust
This package is used to implement the change point estimation method and graph-based clustering method introduced in the three papers, and provide related data analysis.

Files in Meiqian-Chen/GraphCpClust
This package is used to implement the change point estimation method and graph-based clustering method introduced in the three papers, and provide related data analysis.

R Package Documentation

Browse R Packages

We want your feedback!

Meiqian-Chen/GraphCpClust This package is used to implement the change point estimation method and graph-based clustering method introduced in the three papers, and provide related data analysis.

Files in Meiqian-Chen/GraphCpClust This package is used to implement the change point estimation method and graph-based clustering method introduced in the three papers, and provide related data analysis.

R Package Documentation

Browse R Packages

We want your feedback!

Meiqian-Chen/GraphCpClust
This package is used to implement the change point estimation method and graph-based clustering method introduced in the three papers, and provide related data analysis.

Files in Meiqian-Chen/GraphCpClust
This package is used to implement the change point estimation method and graph-based clustering method introduced in the three papers, and provide related data analysis.