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ssym  

Fitting Semi-Parametric log-Symmetric Regression Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ssym", "1.5.8")



Attach the package and use:
library("ssym")
Maintained by
Luis Hernando Vanegas
[Scholar Profile | Author Map]
First Published: 2014-04-02
Latest Update: 2023-04-22
Description:
Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.
How to cite:
Luis Hernando Vanegas (2014). ssym: Fitting Semi-Parametric log-Symmetric Regression Models. R package version 1.5.8, https://cran.r-project.org/web/packages/ssym. Accessed 22 Apr. 2025.
Previous versions and publish date:
1.0 (2014-04-02 16:20), 1.1 (2014-04-05 00:49), 1.2 (2014-04-16 00:56), 1.3 (2014-05-07 07:57), 1.5.1 (2014-10-07 16:15), 1.5.2 (2015-01-08 17:02), 1.5.3 (2015-06-04 20:58), 1.5.4 (2015-10-22 08:24), 1.5.5 (2016-03-07 08:00), 1.5.6 (2016-07-22 01:45), 1.5.7 (2016-10-16 09:44), 1.5 (2014-08-21 07:03)
Other packages that cited ssym R package
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Other R packages that ssym depends, imports, suggests or enhances
Complete documentation for ssym
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