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Releases: lnccbrown/HSSM

HSSM v0.1.2

24 Jul 23:28
@digicosmos86 digicosmos86
v0.1.2
2f4205a
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HSSM v0.1.2

  • Improved numerical stability of analytical likelihoods. #210 #182

  • Added the ability to handle lapse distributions. #215

  • Added the ability to perform prior predictive sampling. #202

  • Improved model information output - now default priors provided by bambi is also printed. #211

  • Added a hierarchical switch which turns all parameters into hierarchical
    when participant_id is provided in data. #197

  • Parameters are now named more consistently (group-specific terms are now aliased correctly). #211

  • Fixed a bug where information about which parameter is regression is incorrectly passed. #219

  • Added links to Colab to try out hssm in Google Colab. #194 #199

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HSSM v0.1.1

11 Jul 20:20
@digicosmos86 digicosmos86
v0.1.1
27cfb06
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HSSM v0.1.1

This release features the following updates and improvements:

  • Bumped PyMC and bambi dependency versions. #153
  • Fixed nuts_numpyro sampling. #159
  • Added a quick function for simulating data. #160
  • Added a convenience function to change float types for pytensor and jax. #161
  • Updated model print outputs. #164 #167
  • Fixed bugs in Param helper class. #186
  • Added sampling tests. #137
  • Various documentation updates #157 #188 #145
  • More CI workflows #121
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