influence.ssym

influence extracts from a object of class ``ssym" the local influence measures and displays their graphs versus the index of the observations.

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

influence.ssym function

Luis Hernando Vanegas &lt;hvanegasp@gmail.com&gt; and Gilberto A. Paula

influence.ssym: Tool to perform sensitivity analysis on the fitted model using local influence measures.

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