NEWS

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gips 1.2.3 (2025-03-18)

Performance gain

There was a significant improvement in the speed of calculation. Details in the table below for 1000 random permutations of a given size:

| permutation size | 30 | 50 | 100 | 200 | 300 | |---|---|---|---|---|---| | old computation time | 0.09 s | 0.10 s | 0.25 s | ~10 s | ~25 s | | new computation time | 0.07 s | 0.08 s | 0.10 s | 0.17 s | ~0.20 s |

Update to functions

• plot.gips() can get type = "n0", which will plot the change of n0 along the "MH" optimization. Handy for deciding of burn-in time;
• find_MAP(optimizer = "MH") tracks the n0 along the optimization;
• summary.gips() calculates Likelihood-Ratio test.

gips 1.2.2

Bugfix:

• logLik.gips() will return an object of class logLik;
• Better Vignettes titles.

gips 1.2.1 (2023-08-12)

Bugfix:

• One test on alternative BLAS/LAPACK has an alternative check for a singular matrix. Found by CRAN's ATLAS test.

gips 1.2.0 (2023-08-07)

New functions

• BIC.gips()
• AIC.gips()
• logLik.gips()
• as.character.gips()

Update to functions

• gips() has a new default D_matrix = mean(diag(S)) * diag(p);
• summary.gips() calculates AIC, BIC, and n_parameters (number of free parameters in the covariance matrix);
• get_probabilities_from_gips() will return a sorted vector;
• compare_posteriories_of_perms() and compare_log_posteriories_of_perms() have a new parameter digits;
• Everywhere a permutation was expected, the gips object can now be passed and interpreted as a permutation. Those are:
  • perm in gips(), project_matrix(), prepare_orthogonal_matrix(), get_structure_constants(), calculate_gamma_function();
  • perm1 and perm2 in compare_posteriories_of_perms(), compare_log_posteriories_of_perms();
  • x in gips_perm();
• plot.gips() can get type = "MLE", which is an alias for type = "heatmap";
• find_MAP(optimizer = "BF") is 3 times faster;
• find_MAP(optimizer = "BF") is default for perm_size <= 9.

Bugfixes:

• Sometimes, post_probabilities underflows to 0. This is appropriately validated now;
• NaNs should not occur in find_MAP() for D_matrix <- diag(ncol(S)) * d when 1000 < d < 1e300;
• When NaNs do occur in find_MAP(), they will throw an error (used to show a warning);
• Inf better handled in print.gips();
• print.*() functions will print \n in the end;
• Slightly different punctuation in print.gips();
• Tremendous vignettes and documentation improvements;
• Proper testing of examples;
• delta parameter of gips() has to be bigger than 1. We used to restrict it to bigger than 2;
• project_matrix() shows a warning when the non-positive-semi-definite matrix is passed as an S argument;
• project_matrix() preserves colnames() and rownames() of a matrix;
• D_matrix is checked for containing any NaN or Inf values;
• Absurdly long structure constants vectors may overflow an integer. Now we use double;
• compare_log_posteriories_of_perms() and compare_posteriories_of_perms() show an error when given two incomparable gips objects (with different parameters).

gips 1.0.0 (2022-10-13)

• This is the first release of gips.