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| CHANGES in `gzippath' VERSION 0.1_7 (2012-8-20) | |
| o change glmcd on how the response variable y is scaled for family other than gaussian | |
| o 8-25-2012 modification on gzipath_0.1-9.tar.gz | |
| b0 should be the average of response variable y for non-standardized case, in an agreement with the so determined lambda max for which beta = 0. This is correct in R function lmnet, see zipath_0.1-2_08_10_2012.tar.gz | |
| CHANGES in `gzipath' VERSION 0.1_13 (2013-11-24) | |
| o for weighted penalized regression glmreg_fit, with standardize=TRUE, the weights are normalized to n*weights/sum(weights). Now added standardize=FALSE and the weights are not normalized. | |
| o zipath function was modified to incorporate glmreg_fit for weighted penalized Poisson and Negative Binomial regression. The tuning parameters were changed based on modified glmreg_fit. | |
| CHANGES in `gzipath' VERSION 0.1_14 (2014-5-8) | |
| o for rescale=TRUE and penalty="mnet" or "snet" in zipath, data driven lambda.zero[1] (i.e., the maximum value of lambda in zero component) is too small, now changed to 0.5*sqrt(lambda.zero[1]). This may be modified if the maximum value of lambda in glmreg was changed in the similar situations. | |
| CHANGES in `gzipath' VERSION 0.1_14 (2014-6-9) | |
| o change package name to `mpath' | |
| CHANGES in `mpath' VERSION 0.1_15 (2014-9-23) | |
| o apply patch from Martyn Plummer <plummerm@iarc.fr> to replace isna and lgamma in src Fortran file to avoid failure on some platforms | |
| CHANGES in `mpath' VERSION 0.1_16 (2014-10-25) | |
| o change src/midloop.f, now saturated model only applies to logistic regression | |
| o add penalty.factor.count and penalty.factor.zero in zipath function to allow different penalties for each of the variables. | |
| o add vignette to illustrate analysis of German health care demand | |
| CHANGES in `mpath' VERSION 0.1_17 (2014-11-10) | |
| o fix a bug in function estfunReg, which is supposed to work only for one penalty parameter | |
| o fix a bug in src/lmnetGaus.f, computing meanx | |
| CHANGES in `mpath' VERSION 0.1_18 (2015-2-26) | |
| o vignette file was updated to be consistent with the corresponding paper Wang et al (2015) | |
| o fix bugs in cv.glmreg.Rd, cv.glmregNB.Rd and cv.zipath.Rd | |
| o in findlam function, verify 0 < alpha <= 1 | |
| o fix a bug with intercept estimate for family="gaussian" | |
| o remove the threshold value mu=1000 for family=4 in midloop.f, lines 167 and 207 | |
| o change function name predict.zeroinfl1 to predictzeroinfl1 | |
| CHANGES in `mpath' VERSION 0.1_19 (2015-7-23) | |
| o editorial changes to files in man directory | |
| CHANGES in `mpath' VERSION 0.1_20 (2015-7-23) | |
| o rebuild static_german.pdf, updating a reference | |
| o fix a bug in loss function for family="gaussian" | |
| CHANGES in `mpath' VERSION 0.1_21 (2015-11-23) | |
| o minor changes to print lambda 4 digits | |
| CHANGES in `mpath' VERSION 0.2-1 (12-09-2015) | |
| o add parallel computing for cross-validation in cross-validation function | |
| o remove vuong test, based on Wilson (2015), The misuse of the Vuong test for non-nested models to test for | |
| zero-inflation, Economics Letters, 127: 51:53 | |
| CHANGES in `mpath' VERSION 0.2-3 (08-10-2016) | |
| o change the format of b0 and beta in glmreg function when standardize=FALSE, to be consistent with standardize=TRUE | |
| o for findlam function in glmreg.R, change | |
| if(standardize) | |
| weights <- weights/sum(weights) | |
| to | |
| if(family=="gaussian" || standardize) | |
| weights <- weights/sum(weights) | |
| This corrects an error in glmreg with family="gaussian" and standardize=FALSE | |
| o In src/lmnetGLM.f, remove lmnetGLM subroutine, which was not used anymore | |
| o fix subroutines in lmnetGLM.f, lmnetGaussian.f, midloop.f and outloop.f regarding gfortran warning messages with an email request from cran.R-project on August 28, 2016 | |
| CHANGES in `mpath' VERSION 0.2-4 (08-30-2016) | |
| o after a change of penGLM subroutine in midloop.f (removing unused argument n), glmreg.R and zipath.R were changed when invoking penGLM. | |