Changes in version 1.1.2 (2026-03-31)                  

  - Added monotonicity option (running min or PAVA)
  - Better handling of weights in kernel density estimation
  - function docorrelate_informative to handle overlapping samples

                        Changes in version 1.1.1                        

  - Added a weights argument which allows users to input inverse LD
    scores and fit to all SNPs.

                 Changes in version 1.1.0 (2026-02-11)                  

Major Changes

  - Now uses fastglm exclusively for significantly faster GLM fitting.

  - Simplified pi0_model() function:
    
      - Removed knots parameter. Knots are now selected adaptively based
        on FDR thresholds and signal strength.
      - Added n_knots parameter (default: 5) for target knot count.
      - Added min_snps_per_knot parameter (default: 100) to ensure
        stable spline fitting.
      - Added max_knots parameter (default: 5) to prevent overfitting.

  - Removed indep_snps functionality from sffdr(). Kernel density
    estimation now always uses all SNPs with appropriate nn smoothing to
    handle LD.

  - Improved speed of locfit by subsampling the null region of the
    distribution (accounted for using the weights argument).

  - Added 98 unit tests covering kernelEstimator, pi0_model, fpi0est,
    sffdr, and fpvalues.

                 Changes in version 1.0.0 (2024-12-02)                  

  - Initial CRAN submission.