| pencopula-package |
The package 'pencopula' offers routines for estimating multivariate penalized copula densities and copula distribution. |
| bernstein |
Calculating a bernstein polynomial. |
| Derv1 |
Calculating the first derivative of the pencopula likelihood function w.r.t. parameter b |
| Derv2 |
Calculating the second order derivative with and without penalty. |
| DeutscheBank |
Daily final prices (DAX) of the German stock Deutsche Bank in the years 2006 and 2007 |
| distr.func.help |
These functions are used for calculating the integral of the
B-spline density basis. |
| f.hat.val |
Calculating the actual fitted values 'f.hat.val' of the estimated density function |
| grid.points |
Calculating the start values 'b' for the first iteration of the
quadratic program. |
| hierarch.bs |
Construction of the hierarchical B-spline density basis. |
| int.bernstein |
Calculating a bernstein polynomial. |
| int.my.bspline |
my.bspline |
| knots.order |
Calculating the knots. |
| knots.start |
Calculating the knots. |
| knots.transform |
Calculating the knots. |
| Lufthansa |
Daily final prices (DAX) of the German stock Lufthansa in the years 2006 and 2007 |
| my.bspline |
my.bspline |
| my.IC |
Calculating the AIC- and BIC-value |
| my.loop |
Iterative loop for calculating the optimal coefficients 'b'. |
| my.positive.definite.solve |
my.positive.definite.solve |
| new.weights |
Calculating new weights b. |
| pen.log.like |
Calculating the log likelihood |
| penalty.matrix |
Calculating the penalty matrix P(lambda) |
| pencopula |
Calculating penalized copula density with penalized hierarchical B-splines |
| pendenForm |
Formula interpretation and data transfer |
| plot.pencopula |
Plot the estimated copula density or copula distribution. |
| poly.part |
These functions are used for calculating the integral of the
B-spline density basis. |
| print |
Printing the main results of the penalized copula density estimation |
| print.pencopula |
Printing the main results of the penalized copula density estimation |
| start.valgrid |
Calculating the start values 'b' for the first iteration of the
quadratic program. |