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PerMat  

Performance Metrics in Predictive Modeling
View on CRAN: Click here


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

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

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



Attach the package and use:
library("PerMat")
Maintained by
Pankaj Das
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-14
Latest Update: 2024-06-14
Description:
Performance metric provides different performance measures like mean squared error, root mean square error, mean absolute deviation, mean absolute percentage error etc. of a fitted model. These can provide a way for forecasters to quantitatively compare the performance of competing models. For method details see (i) Pankaj Das (2020) <http://krishi.icar.gov.in/jspui/handle/123456789/44138>.
How to cite:
Pankaj Das (2024). PerMat: Performance Metrics in Predictive Modeling. R package version 0.1.0, https://cran.r-project.org/web/packages/PerMat. Accessed 07 Nov. 2024.
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