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ConSpline  

Partial Linear Least-Squares Regression using Constrained Splines
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ConSpline", "1.2")



Attach the package and use:
library("ConSpline")
Maintained by
Mary C Meyer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-03-30
Latest Update: 2017-10-02
Description:
Given response y, continuous predictor x, and covariate matrix, the relationship between E(y) and x is estimated with a shape constrained regression spline. Function outputs fits and various types of inference.
How to cite:
Mary C Meyer (2015). ConSpline: Partial Linear Least-Squares Regression using Constrained Splines. R package version 1.2, https://cran.r-project.org/web/packages/ConSpline. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2015-03-30 20:29), 1.1 (2015-08-29 13:14)
Other packages that cited ConSpline R package
View ConSpline citation profile
Other R packages that ConSpline depends, imports, suggests or enhances
Complete documentation for ConSpline
Functions, R codes and Examples using the ConSpline R package
Some associated functions: ConSpline-package . GAVoting . WhiteSpruce . conspline . 
Some associated R codes: concave.R . conspline.R . convex.R . monincr.R .  Full ConSpline package functions and examples
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