ssym: Fitting Semi-Parametric log-Symmetric Regression Models

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.

AuthorLuis Hernando Vanegas <hvanegasp@gmail.com> and Gilberto A. Paula
Date of publication2016-10-16 09:44:42
MaintainerLuis Hernando Vanegas <hvanegasp@gmail.com>
LicenseGPL-2 | GPL-3
Version1.5.7

View on CRAN

Functions

AIC.ssym Man page
Baboons Man page
Biaxial Man page
BIC.ssym Man page
Claims Man page
coef.ssym Man page
envelope Man page
Erabbits Man page
estfun.ssym Man page
extra.parameter Man page
fitted.ssym Man page
gdp Man page
influence.ssym Man page
itpE Man page
itpE2 Man page
itpE3 Man page
itpEC2 Man page
logLik.ssym Man page
myeloma Man page
ncs Man page
np.graph Man page
Ovocytes Man page
plot.ssym Man page
print.ssym Man page
psp Man page
residuals.ssym Man page
rvgs Man page
Snacks Man page
ssym Man page
ssym.l Man page
ssym.l2 Man page
ssym.nl Man page
ssym-package Man page
Steel Man page
summary.ssym Man page
vcov.ssym Man page

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