Other packages > Find by keyword >

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
Previous versions and publish date:
No previous versions
Other packages that cited PerMat R package
View PerMat citation profile
Other R packages that PerMat depends, imports, suggests or enhances
Functions, R codes and Examples using the PerMat R package
Full PerMat package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

interplex  
Coercion Methods for Simplicial Complex Data Structures
Computational topology, which enables topological data analysis (TDA), makes pervasive use of abstr ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
PCL  
Proximal Causal Learning
We fit causal models using proxies. We implement two stage proximal least squares estimator. E.J. Tc ...
Download / Learn more Package Citations See dependency  
DelayedEffect.Design  
Sample Size and Power Calculations using the APPLE, SEPPLE, APPLE+ and SEPPLE+ Methods
Provides sample size and power calculations when the treatment time-lag effect is present and the la ...
Download / Learn more Package Citations See dependency  
largeList  
Serialization Interface for Large List Objects
Functions to write or append a R list to a file, as well as read, remove, modify elements from it wi ...
Download / Learn more Package Citations See dependency  
MPCI  
Multivariate Process Capability Indices (MPCI)
It performs the followings Multivariate Process Capability Indices: Shahriari et al. (1995) Multivar ...
Download / Learn more Package Citations See dependency  

22,431

R Packages

191,269

Dependencies

56,139

Author Associations

22,432

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns