Changes in version 1.1.0 (2025-10-15)                  

Changes

1.  Adding prediction intervals to the output of
    computeBayesianMetaAnalysis().

2.  Updated style of plotMetaAnalysisForest() and added prediction
    intervals.

3.  Adhering to `ggplot2' version 4 syntax to avoid deprecation
    warnings.

                 Changes in version 1.0.0 (2025-08-26)                  

Changes

1.  Supporting Bayesian hierarchical meta analysis with bias correction
    using negative control outcomes by adding
    computeHierarchicalMetaAnalysis().

2.  Providing additional example dataset -- profile likelihoods from
    LegendT2dm.

3.  Supporting simulation for Self-Controlled Case Series (SCCS) data.
    (see createSccsSimulationSettings()).

4.  Adding support for synthesizing pooled SCCS data.

5.  Introducing Hermite interpolation using a sparse grid with
    gradients. These approximations will be faster to construct,
    especially for models with many (nuisance) parameters such as the
    SCCS.

                 Changes in version 0.5.0 (2023-05-08)                  

Changes

1.  Supporting Bayesian adaptive bias correction in sequential analysis
    by adding fitBiasDistribution(), sequentialFitBiasDistribution() and
    biasCorrectionInference() functions

2.  Added relevant plotting functions, plotBiasDistribution() and
    plotBiasCorrectionInference().

3.  Added a vignette on Bayesian adaptive bias correction.

                 Changes in version 0.4.1 (2023-04-05)                  

Changes

1.  Added a video vignette.

                 Changes in version 0.4.0 (2023-01-11)                  

Changes

1.  Supporting adaptive grid in plotLikelihoodFit() and
    computeFixedEffectMetaAnalysis() functions.

2.  Adding visualization of likelihood curves to
    plotMetaAnalysisForest().

                 Changes in version 0.3.0 (2022-09-09)                  

Changes

1.  Supporting adaptive grid in computeBayesianMetaAnalysis() and
    approximateLikelihood() functions.

Bugfixes

1 Fixed error when approximating likelihood using grid (parameter to
approximate could only be "x").

                 Changes in version 0.2.3 (2021-01-29)                  

Changes

1.  Higher tolerance on skew-normal unit tests to prevent them from
    failing.

2.  Detecting and removing grid approximations with illegal values
    before computing meta-analysis.

                 Changes in version 0.2.2 (2020-12-18)                  

Changes

1.  Documenting dependency on Java in the SystemRequirements field of
    the package DESCRIPTION.

2.  Adding seed argument to computeBayesianMetaAnalysis(). Defaults to a
    constant value for reproducability.

Bugfixes

1.  Fixed plotMetaAnalysisForest() when using grid approximations,
    including when providing approximations as tibble.

                 Changes in version 0.2.1 (2020-11-20)                  

Changes

1.  computeBayesianMetaAnalysis() now outputs ESS.

2.  Checking whether required Java version (8 or newer) is installed.

                 Changes in version 0.2.0 (2020-11-19)                  

Changes

1.  Preparing for CRAN release: Adding missing rmarkdown dependency to
    Suggests.

2.  Added computeConfidenceInterval() function.

3.  plotMetaAnalysisForest() function now works with normal and
    non-normal approximations.

4.  Grid points now evenly spaced on log scale, not HR scale.

                        Changes in version 0.1.0                        

Changes

1.  Adding meta-analysis using local non-normal Cox likelihood
    approximations to avoid bias when sample size is small.

                        Changes in version 0.0.5                        

Bug fixes

1.  Fixing build error in R 4.0.0.