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Releases: nicholasjclark/MRFcov

v1.0.39 CRAN release

13 Apr 03:51
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v1.0.39 CRAN release

v1.0.38 CRAN release

22 Mar 21:16
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CRAN release for version 1.0.38

v1.0.37

10 Apr 00:50
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This update contains improved documentation of examples for plotting, more detailed work-throughs in the vignettes and an improvement to the normalisation technique for count variables.

v1.0.36

26 Nov 06:16
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This release contains:

  • Improved clarity of function definitions and descriptions
  • Adjusted text size on plotMRF_hm for clearer presentation
  • Improved bootstrap_MRF efficiency to reduce memory usage
  • Added CRAN hyperlink to the GitHub README

v1.0.34

16 Aug 05:47
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This release improves the construction and estimation of spatial regression splines and adds capability to fit intercept-only models when frequencies of occurrence in binomial nodes are too low for glmnet to fit the regression

v1.0.33

23 Jul 03:05
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This release adds capabilities to include spatial regression splines in models to account for possible spatial autocorrelation. It also removes the 'penalized' dependency, which makes model exploration easier and less prone to user bias

v1.0.32

26 Jun 23:13
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This release includes small patches to better handle very common or very rare nodes in binomial MRF and CRF models

v1.0.31

07 Jun 23:33
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This release fixes a small bug in the bootstrap_MRF function and also includes improved functionality for catching errors in cv.glmnet runs

v1.0.3

16 May 23:17
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This release contains updated functions for improved estimation of poisson and gaussian MRFs / CRFs. Workflows have also been simplified by relying on glmnet's machine learning capabilities, rather than forcing users to make difficult choices about penalization parameter values.

MRFcov v1.0.2

15 Mar 21:26
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This version is the release archived at Zenodo