plot.ssym

plot.ssym produces the graph in which the goodness-of-fit statistic \(\Upsilon\) is based.
This function also displays graphs of the deviance-type residuals versus the fitted values for the median and the skewness (or the relative dispersion) submodels.
Under the presence of an uncensored sample, the function <code><a href="/link/plot()?package=ssym&version=1.5.7" data-mini-rdoc="ssym::plot()">plot()</a></code> produces a graph of the standardized individual-specific weights versus the ordinary residuals (i.e., a graph
of \(\rho(\hat{{z}}_k)\) versus \(\hat{{z}}_k\), \(k=1,\ldots,n\)), and under the presence of a right-censored sample, the function <code><a href="/link/plot()?package=ssym&version=1.5.7" data-mini-rdoc="ssym::plot()">plot()</a></code> produces a graph
of the survival function of the error distribution.

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.

Luis Vanegas

ssym

Fitting Semi-Parametric log-Symmetric Regression Models

plot.ssym function

plot.ssym produces the graph in which the goodness-of-fit statistic \(\Upsilon\) is based.
This function also displays graphs of the deviance-type residuals versus the fitted values for the median and the skewness (or the relative dispersion) submodels.
Under the presence of an uncensored sample, the function <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot()</a></code> produces a graph of the standardized individual-specific weights versus the ordinary residuals (i.e., a graph
of \(\rho(\hat{{z}}_k)\) versus \(\hat{{z}}_k\), \(k=1,\ldots,n\)), and under the presence of a right-censored sample, the function <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot()</a></code> produces a graph
of the survival function of the error distribution.

plot.ssym: plot.ssym

Description

Arguments