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scar  

Shape-Constrained Additive Regression: a Maximum Likelihood Approach
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("scar", "0.2-2")



Attach the package and use:
library("scar")
Maintained by
Yining Chen
[Scholar Profile | Author Map]
First Published: 2013-07-23
Latest Update: 2022-05-25
Description:
Computes the maximum likelihood estimator of the generalised additive and index regression with shape constraints. Each additive component function is assumed to obey one of the nine possible shape restrictions: linear, increasing, decreasing, convex, convex increasing, convex decreasing, concave, concave increasing, or concave decreasing. For details, see Chen and Samworth (2016) .
How to cite:
Yining Chen (2013). scar: Shape-Constrained Additive Regression: a Maximum Likelihood Approach. R package version 0.2-2, https://cran.r-project.org/web/packages/scar. Accessed 05 May. 2025.
Previous versions and publish date:
0.1-0 (2013-07-23 23:39), 0.2-0 (2014-04-08 15:24), 0.2-1 (2014-04-15 15:50)
Other packages that cited scar R package
View scar citation profile
Other R packages that scar depends, imports, suggests or enhances
Complete documentation for scar
Functions, R codes and Examples using the scar R package
Some associated functions: PhDPublications . decathlon . decathlon_raw . plot.scair . plot.scar . predict.scair . predict.scar . scair . scar-internal . scar-package . scar . 
Some associated R codes: aggsum.R . plot.scair.R . plot.scar.R . predict.scair.R . predict.scar.R . scair.R . scar.R .  Full scar package functions and examples
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