CompatHelper: bump compat for Interpolations to 0.16, (keep existing compat)

[github-actions]

This pull request changes the compat entry for the Interpolations package from 0.14.0,0.15.0 to 0.14.0,0.15.0, 0.16.
This keeps the compat entries for earlier versions.

Note: I have not tested your package with this new compat entry.
It is your responsibility to make sure that your package tests pass before you merge this pull request.

[github-actions]

Benchmark Results

	master	1aa1bf7...	master / 1aa1bf7...
logpdf/("SequentialSamplingModels.DDM", 10)	1.66 ± 0.11 μs	1.66 ± 0.12 μs	0.999 ± 0.099
logpdf/("SequentialSamplingModels.DDM", 100)	15.6 ± 0.86 μs	15.7 ± 0.83 μs	0.997 ± 0.076
logpdf/("SequentialSamplingModels.LBA", 10)	2.93 ± 0.19 μs	2.94 ± 0.19 μs	0.997 ± 0.091
logpdf/("SequentialSamplingModels.LBA", 100)	22.4 ± 0.73 μs	22.4 ± 0.74 μs	0.998 ± 0.046
logpdf/("SequentialSamplingModels.LNR", 10)	1.66 ± 0.12 μs	1.67 ± 0.13 μs	0.998 ± 0.1
logpdf/("SequentialSamplingModels.LNR", 100)	9.5 ± 0.33 μs	9.42 ± 0.37 μs	1.01 ± 0.053
logpdf/("SequentialSamplingModels.RDM", 10)	2.62 ± 0.22 μs	2.63 ± 0.22 μs	0.995 ± 0.12
logpdf/("SequentialSamplingModels.RDM", 100)	23.7 ± 0.77 μs	23.8 ± 0.82 μs	0.997 ± 0.047
logpdf/("SequentialSamplingModels.Wald", 10)	0.462 ± 0.011 μs	0.466 ± 0.011 μs	0.991 ± 0.033
logpdf/("SequentialSamplingModels.Wald", 100)	2.64 ± 0.04 μs	2.65 ± 0.037 μs	0.996 ± 0.021
logpdf/("SequentialSamplingModels.WaldMixture", 10)	1.32 ± 0.015 μs	1.31 ± 0.014 μs	1.01 ± 0.016
logpdf/("SequentialSamplingModels.WaldMixture", 100)	11.3 ± 0.19 μs	11 ± 0.19 μs	1.02 ± 0.025
rand/("SequentialSamplingModels.DDM", 10)	3.15 ± 0.44 μs	3.18 ± 0.41 μs	0.99 ± 0.19
rand/("SequentialSamplingModels.DDM", 100)	30 ± 1.5 μs	30.3 ± 1.7 μs	0.993 ± 0.074
rand/("SequentialSamplingModels.LBA", 10)	1.73 ± 0.052 μs	1.65 ± 0.058 μs	1.05 ± 0.049
rand/("SequentialSamplingModels.LBA", 100)	12.2 ± 0.34 μs	11.4 ± 0.31 μs	1.07 ± 0.042
rand/("SequentialSamplingModels.LCA", 10)	0.54 ± 0.14 ms	0.515 ± 0.13 ms	1.05 ± 0.39
rand/("SequentialSamplingModels.LCA", 100)	5.78 ± 0.15 ms	5.59 ± 0.16 ms	1.03 ± 0.04
rand/("SequentialSamplingModels.LNR", 10)	1.17 ± 0.036 μs	1.13 ± 0.037 μs	1.03 ± 0.047
rand/("SequentialSamplingModels.LNR", 100)	6.65 ± 2.7 μs	6.23 ± 2.8 μs	1.07 ± 0.64
rand/("SequentialSamplingModels.RDM", 10)	1.17 ± 0.042 μs	1.15 ± 0.042 μs	1.02 ± 0.052
rand/("SequentialSamplingModels.RDM", 100)	9.58 ± 0.28 μs	9.27 ± 0.36 μs	1.03 ± 0.05
rand/("SequentialSamplingModels.Wald", 10)	0.431 ± 0.023 μs	0.415 ± 0.024 μs	1.04 ± 0.082
rand/("SequentialSamplingModels.Wald", 100)	2.21 ± 0.07 μs	2.16 ± 0.071 μs	1.03 ± 0.047
rand/("SequentialSamplingModels.WaldMixture", 10)	1.37 ± 0.023 μs	1.37 ± 0.024 μs	0.998 ± 0.024
rand/("SequentialSamplingModels.WaldMixture", 100)	11.9 ± 0.12 μs	11.9 ± 0.1 μs	0.999 ± 0.013
simulate/SequentialSamplingModels.DDM	1.98 ± 0.55 μs	1.99 ± 0.55 μs	0.997 ± 0.39
simulate/SequentialSamplingModels.LBA	4.84 ± 1.2 μs	4.76 ± 1 μs	1.02 ± 0.34
simulate/SequentialSamplingModels.LCA	0.0717 ± 0.014 ms	0.0694 ± 0.013 ms	1.03 ± 0.28
simulate/SequentialSamplingModels.RDM	0.0885 ± 0.03 ms	0.0927 ± 0.029 ms	0.955 ± 0.44
simulate/SequentialSamplingModels.Wald	4.54 ± 2 μs	4.66 ± 1.7 μs	0.974 ± 0.56
simulate/SequentialSamplingModels.WaldMixture	2.04 ± 0.54 μs	2.11 ± 0.55 μs	0.969 ± 0.36
simulate/mdft	0.163 ± 0.066 ms	0.162 ± 0.063 ms	1 ± 0.56
time_to_load	0.933 ± 0.0093 s	0.899 ± 0.0086 s	1.04 ± 0.014

Benchmark Plots

A plot of the benchmark results have been uploaded as an artifact to the workflow run for this PR.
Go to "Actions"->"Benchmark a pull request"->[the most recent run]->"Artifacts" (at the bottom).