Pylag

- MCMC for maximum likelihood fitting of power and cross spectra reimplemented using Emcee
- Support for XRISM time conversion

- Bugfixes

- XspecModel class for incorporating Xspec spectral models into timing simulations
- Functionality to check and extract simultaneous light curve segments in EnergyLCList
- Enhancements to Gaussian process classes

- MultiPlot class to create figures with multiple panels
- Reverberation model to compute and fit lag spectra and other timing products from realistic GR ray tracing simulations
- Enhanced model fitting functionality, including the ability to exclude data points
- Whittle statistic to fit unbinned periodograms
- Reimplementation of LagEnergySpectrum and CovarianceSpectrum to improve performance and enable rapid rebinning in frequency, to faciliate easy exploration of how the lags vary as a function of frequency
- Interpolation between parameter values for FITS spectral models
- Various bug fixes and enhancements

- Maximum likelihood fitting of power spectrum and cross spectrum across multiple (stacked) light curves
- Include absorption and instrument ARFs for more realistic spectral timing simulations
- Convert time axes between MET for different X-ray missions
- Include background in light curves from XMM-Newton
- Compatibility with Python 3.12 and Numpy 1.24
- Various bug fixes and enhancements

- First public release