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ICSsmoothing  

Data Smoothing by Interpolating Cubic Splines
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ICSsmoothing", "1.2.8")



Attach the package and use:
library("ICSsmoothing")
Maintained by
Lubomir Antoni
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-14
Latest Update: 2023-01-08
Description:
We construct the explicit form of clamped cubic interpolating spline (both uniform - knots are equidistant and non-uniform - knots are arbitrary). Using this form, we propose a linear regression model suitable for real data smoothing.
How to cite:
Lubomir Antoni (2021). ICSsmoothing: Data Smoothing by Interpolating Cubic Splines. R package version 1.2.8, https://cran.r-project.org/web/packages/ICSsmoothing. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.2.5 (2021-01-14 10:10), 1.2.6 (2022-11-06 06:00), 1.2.7 (2023-01-08 10:20)
Other packages that cited ICSsmoothing R package
View ICSsmoothing citation profile
Other R packages that ICSsmoothing depends, imports, suggests or enhances
Complete documentation for ICSsmoothing
Functions, R codes and Examples using the ICSsmoothing R package
Some associated functions: CERN . cics_explicit . cics_explicit_smooth . cics_unif_explicit . cics_unif_explicit_smooth . explicit_spline . forecast_demo . hermite_bf_matrix . tridiag_inv_general . tridiag_inv_unif_by_sums . 
Some associated R codes: CERN.R . ICS_smoothing.R . forecast_demo.R .  Full ICSsmoothing package functions and examples
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