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COST  

Copula-Based Semiparametric Models for Spatio-Temporal Data
View on CRAN: Click here


Download and install COST package within the R console
Install from CRAN:
install.packages("COST")

Install from Github:
library("remotes")
install_github("cran/COST")

Install by package version:
library("remotes")
install_version("COST", "0.1.0")



Attach the package and use:
library("COST")
Maintained by
Yanlin Tang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-04
Latest Update: 2019-01-04
Description:
Parameter estimation, one-step ahead forecast and new location prediction methods for spatio-temporal data.
How to cite:
Yanlin Tang (2019). COST: Copula-Based Semiparametric Models for Spatio-Temporal Data. R package version 0.1.0, https://cran.r-project.org/web/packages/COST. Accessed 26 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited COST R package
View COST citation profile
Other R packages that COST depends, imports, suggests or enhances
Complete documentation for COST
Functions, R codes and Examples using the COST R package
Some associated functions: Data.COST . Forecasts.CF . Forecasts.COST.G . Forecasts.COST.t . Forecasts.GP . Predictions.COST.G . Predictions.COST.t . Predictions.GP . Wind6month . example.forecast . example.prediction . location . logL.CF . logL.COST.G . logL.COST.t . logL.GP . rank.multivariate . 
Some associated R codes: COST.R .  Full COST package functions and examples
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