mle.tools - Expected/Observed Fisher Information and Bias-Corrected Maximum Likelihood Estimate(s)
Calculates the expected/observed Fisher information and the bias-corrected maximum likelihood estimate(s) via Cox-Snell Methodology.
Last updated 8 years ago
1.91 score 1 stars 1 dependents 27 scripts 430 downloadsugomquantreg - Quantile Regression Modeling for Unit-Gompertz Responses
Unit-Gompertz density, cumulative distribution, quantile functions and random deviate generation of the unit-Gompertz distribution. In addition, there are a function for fitting the Generalized Additive Models for Location, Scale and Shape.
Last updated 4 years ago
cpp
1.00 score 155 downloadsvasicekreg - Regression Modeling Using Vasicek Distribution
Vasicek density, cumulative distribution, quantile functions and random deviate generation of Vasicek distribution. In addition, there are two functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005, <doi:10.1111/j.1467-9876.2005.00510.x>). Some functions are written in C++ using 'Rcpp', developed by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>).
Last updated 4 years ago
cpp
1.00 score 1 scripts 144 downloads