2023-10-08 Luigi Augugliaro version 2.1.6 * fixed bung in phihat function * fixed bung in grcv function 2020-02-25 Luigi Augugliaro version 2.1.6 * fixed bug in dglars.fit * fixed bug in grcv * fixed bug in cvdglars.fit 2019-12-03 Luigi Augugliaro version 2.1.5 * fixed bug in pc_cvdglars.f90 2019-11-21 Luigi Augugliaro version 2.1.4 * fixed bug in dglars.R 2019-06-12 Luigi Augugliaro version 2.1.3 * fixed bug in pc_cvdglars.f90 2019-06-12 Luigi Augugliaro version 2.1.2 * fixed bug in dglars.h 2019-04-06 Luigi Augugliaro version 2.1.1 * fixed bug in logLik.dglars 2018-10-09 Luigi Augugliaro version 2.1.0 * added "grcv" function to estimate the dispersion parameter * fixed bug in cvdglars 2018-04-12 Luigi Augugliaro version 2.0.1 * cBind() is replaced by cbind() 2016-11-17 Luigi Augugliaro version 2.0.0 * the package 'Matrix' is used to handle sparce algebra in R. * PC algorithm is extended to inverse gaussian, gamma and gaussian family. * PC algorithm can fit dglars model to glm with standard link functions. * if family is "binomial" then the respnce vector can be a matri with two colums, i.e., the first "column" is the number of successes and the second column is the number of "failures". * added phi_hat subroutines to estimate the dispersion parameter when family is inverse gaussian, gamma or gaussian. * added argument 'unpenalized' to dglars/dglars.fit functions to fit dglars models where a subset of parameters is unpenalized. * added methods functions: coef.dglars, coef.cvdglars, predict.dglars, logLik.dglars, AIC.dglars and BIC.dglars. * improved the output of the method functions: print.dglars, summary.dglars and plot.dglars * gdf function is extended to inverse gaussian, gamma and gaussian family 2014-08-09 Luigi Augugliaro version 1.0.5 * added reference to Journal of Statistical Software paper 2013-12-19 Luigi Augugliaro version 1.0.4 * output from cvdglars() function has been improved including an object of class "formula" used to describe the model estimated by cross-validation * output from cvdglars.fit() function has been improved including a character vector with the name of the variables selected by cross-validation. 2013-10-08 Luigi Augugliaro version 1.0.3 * bug fixed in make_dglars 2013-08-04 Luigi Augugliaro version 1.0.2 * dglars() function has been changed to handle the formula interface; dglars.fit() works with the design matrix X and the responce vector y. * The control argument "method = dgLAR" has been changed in "method = dgLARS". * The output from print.dglars() has been changed. * The output from summary.dglars() has been changed. * The summary.dglars() implements the a general measure of goodness-of-fit. * The function plot.dglars() has been changed in order to evauate the fitted models by means of a general measure of goodness-of-fit. * gdf() is now a function of a fitted dglars object. * cvdglars() function has been changed to handle the formula interface; cvdglars.fit() works with the design matrix X and the responce vector y. 2013-06-14 Luigi Augugliaro version 1.0.1 * nasty bug fixed in fortran - removed array-bounds problems