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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.
Version: | 1.5.8 |
Depends: | GIGrvg, numDeriv, normalp, Formula, survival |
Imports: | stats, grDevices, sandwich, graphics, methods, utils |
Suggests: | NISTnls, gam, sn, MASS |
Published: | 2023-04-22 |
DOI: | 10.32614/CRAN.package.ssym |
Author: | Luis Hernando Vanegas and Gilberto A. Paula |
Maintainer: | Luis Hernando Vanegas <hvanegasp at gmail.com> |
License: | GPL-2 | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | ssym results |
Reference manual: | ssym.pdf |
Package source: | ssym_1.5.8.tar.gz |
Windows binaries: | r-devel: ssym_1.5.8.zip, r-release: ssym_1.5.8.zip, r-oldrel: ssym_1.5.8.zip |
macOS binaries: | r-release (arm64): ssym_1.5.8.tgz, r-oldrel (arm64): ssym_1.5.8.tgz, r-release (x86_64): ssym_1.5.8.tgz, r-oldrel (x86_64): ssym_1.5.8.tgz |
Old sources: | ssym archive |
Reverse imports: | PartCensReg |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.