Fitting Semi-Parametric log-Symmetric Regression Models
BIC.ssym
coef.ssym
Building of normal probability plots with simulated envelope of the de...
estfun.ssym
Tool that supports the estimation of the extra parameter.
fitted.ssym
Tool to perform sensitivity analysis on the fitted model using local i...
itpE
itpE2
itpE3
itpEC2
logLik.ssym
Tool to build the basis matrix and the penalty matrix of natural cubic...
Tool to plot natural cubic splines or P-splines.
plot.ssym
print.ssym
Tool to build the basis matrix and the penalty matrix of P-splines.
residuals.ssym
Random generation for some symmetric continuous distributions.
Fitting Semiparametric Log-symmetric Regression Models
Fitting Semi-parametric Log-symmetric Regression Models
Fitting Censored Semi-parametric Log-symmetric Regression Models
Fitting Semi-parametric Log-symmetric Regression Models
summary.ssym
vcov.ssym
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.