…ation and testing it with correlated gaussian likelihoods. Found a problem with the function anesthetic.examples.perfect_ns.correlated_gaussian. The generated likelihood gaussian in the parameters is not normalised and the evidence is not unity. Need to take into account the LogLmax.

…ed_gaussian. Within the correlated_gaussian function, changed logLike function. Changed the function's description to match the fact that evidence is not unity.

…kelihood test case with the tests folder.

…nction tension_stats() for calculating tension statistics. Rewrote the test_tension_stats.py in tests to match the format of other files. It tests mock datasets with guassian likelihood. Both compatiable and incompatiable datasets have passed the test.

…dd a file for datasets pairwise_comparison, but not completed

…the theoretical logR, logS and logI values sit within 3 std of the numerical solution's distribution from anesthetic, instead of testing between minimum and maximum values of the distribution.

…ed latex labels, 3) set nsamples=None and beta=None to match NestedSamples.stats, 4) changed samples to samples_stats for a more instructive name. I have tested the updated anesthetic.tension.tension_stats() using the tests/test_tension.py and no AssertionError is raised. I printed out the output of tension_stats() and checked that the latex labels are fine.

…the volume V to 6 and changed the bounds.

… computation to save computing time for high-nsamples runs

…ng stats to tension stats