Changes in version 1.6.1 (2025-03-05)                  

  - Various internal fixes (see below)
      - Updating references
      - Fixing some broken links
      - Removing an OMP directive that was causing stack imbalance
        issues
      - Improved CI testing
      - Eliminating use of PROTECT in cpp code
      - Some NAMESPACE changes

                 Changes in version 1.6.0 (2024-04-21)                  

  - New: functions biglasso_fit() and biglasso_path(), which allow users
    to turn off standardization and intercept

                 Changes in version 1.5.2 (2022-10-05)                  

  - Update coercion for compatibility with Matrix 1.5
      - Now using GitHub Actions instead of Travis for CI

                 Changes in version 1.5.1 (2022-03-09)                  

  - Internal Cpp changes: initialize Xty, remove unused cutoff variable
    (#48)
      - Eliminate CV test against ncvreg (the two packages no longer use
        the same approach (#47)

                 Changes in version 1.5.0 (2022-02-08)                  

  - Update headers to maintain compatibility with new version of Rcpp
    (#40)

                        Changes in version 1.4-1                        

  - changed R package maintainer to Chuyi Wang (wwaa0208@gmail.com)
      - fixed bugs
      - Add 'auc', 'class' options to cv.biglasso eval.metric
      - predict.cv now predicts standard error over CV folds by default;
        set 'grouped' argument to FALSE for old behaviour.
      - predict.cv.biglasso accepts 'lambda.min', 'lambda.1se' argument,
        similar to predict.cv.glmnet()

                        Changes in version 1.4-0                        

  - adaptive screening methods were implemented and set as default when
    applicable
      - added sparse Cox regression
      - removed uncompetitive screening methods and combined naming of
        screening methods
      - version 1.4-0 for CRAN submission

                 Changes in version 1.3-7 (2019-09-09)                  

  - update email to personal email
      - coef(cvfit) returns only nonzero cells, as a labelled vector
      - set HSR rules as default
      - option for non-standardization

                 Changes in version 1.3-6 (2017-05-04)                  

  - optimized the code for computing the slores rule.
      - added Slores screening without active cycling (-NAC) for
        logistic regression, research usage only.
      - corrected BEDPP for elastic net.
      - fixed a bug related to "exporting SSR-BEDPP".

                 Changes in version 1.3-5 (2017-04-04)                  

  - redocumented using Roxygen2.
      - registered native routines for faster and more stable
        performance.

                        Changes in version 1.3-4                        

  - fixed a bug related to dfmax option. (thanks you Florian Privé!)

                 Changes in version 1.3-3 (2017-01-26)                  

  - fixed bugs related to KKT checking for elastic net. (thanks you
    Florian Privé!)
      - added references for screening rules and the technical paper of
        biglasso package.

                        Changes in version 1.3-2                        

  - added screening methods without active cycling (-NAC) for
    comparison, research usage only.
      - fixed a bug related to numeric comparison in Dome test.

                 Changes in version 1.3-1 (2016-12-31)                  

  - fixed bug in SSR-Slores related to numeric equality comparison.

                 Changes in version 1.3-0 (2016-12-21)                  

  - version 1.3-0 for CRAN submission.

                        Changes in version 1.2-6                        

  - added a newly proposed screening rule, SSR-Slores, for
    lasso-penalized logistic regression.
      - added SSR-BEDPP for elastic-net-penalized linear regression.

                        Changes in version 1.2-5                        

  - updated README.md with benchmarking results.
  - added tutorial (vignette).

                        Changes in version 1.2-4                        

  - added gaussian.cpp: solve lasso without screening, for research
    only.
  - added tests.

                 Changes in version 1.2-3 (2016-11-14)                  

  - changed convergence criteria of logistic regression to be the same
    as that in glmnet.
  - optimized source code; preparing for CRAN submission.
  - fixed memory leaks occurred on Windows.

                        Changes in version 1.2-2                        

  - added internal data set: the colon cancer data.

                        Changes in version 1.2-1                        

  - Implemented another new screening rule (SSR-BEDPP), also combining
    hybrid strong rule with a safe rule (BEDPP).
      - implemented EDPP rule with active set cycling strategy for
        linear regression.
      - changed convergence criteria to be the same as that in glmnet.

                        Changes in version 1.1-2                        

  - fixed bugs occurred when some features have identical values for
    different observations. These features are internally removed from
    model fitting.

                        Changes in version 1.1-1                        

  - Three sparse screening rules (SSR, EDPP, SSR-Dome) were implemented.
    Our new proposed HSR-Dome combines HSR and Dome test for feature
    screening, leading to even better performance as compared to
    'glmnet'.
      - OpenMP parallel computing was added to speedup single model
        fitting.
      - Both exact Newton and majorization-minimization (MM) algorithm
        for logistic regression were implemented. The latter could be
        faster, especially in data-larger-than-RAM cases.
      - Source code were rewritten in pure cpp.
      - Sparse matrix representation was added using Armadillo library.

                 Changes in version 1.0-1 (2016-03-02)                  

  - package ready for CRAN submission.