CompatHelper: bump compat for DynamicPPL to 0.26, (keep existing compat)

[github-actions]

This pull request changes the compat entry for the DynamicPPL package from 0.22.0,0.23.0,0.24.0 to 0.22.0,0.23.0,0.24.0, 0.26.
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	df35741...	master/df357419cbacb1...
logpdf/("SequentialSamplingModels.DDM", 10)	1.67 ± 0.12 μs	1.66 ± 0.12 μs	1
logpdf/("SequentialSamplingModels.DDM", 100)	17.4 ± 0.81 μs	17.3 ± 0.82 μs	1
logpdf/("SequentialSamplingModels.LBA", 10)	2.45 ± 0.2 μs	2.45 ± 0.18 μs	1
logpdf/("SequentialSamplingModels.LBA", 100)	23.4 ± 0.65 μs	23.4 ± 0.64 μs	1
logpdf/("SequentialSamplingModels.LNR", 10)	0.997 ± 0.14 μs	0.996 ± 0.15 μs	1
logpdf/("SequentialSamplingModels.LNR", 100)	8.62 ± 0.29 μs	8.6 ± 0.29 μs	1
logpdf/("SequentialSamplingModels.RDM", 10)	2.57 ± 0.19 μs	2.57 ± 0.19 μs	0.998
logpdf/("SequentialSamplingModels.RDM", 100)	25.1 ± 0.72 μs	25 ± 0.73 μs	1
logpdf/("SequentialSamplingModels.Wald", 10)	0.227 ± 0.16 μs	0.226 ± 0.16 μs	1
logpdf/("SequentialSamplingModels.Wald", 100)	2.09 ± 0.14 μs	2.07 ± 0.14 μs	1.01
logpdf/("SequentialSamplingModels.WaldMixture", 10)	1.08 ± 0.16 μs	1.08 ± 0.16 μs	1
logpdf/("SequentialSamplingModels.WaldMixture", 100)	10.6 ± 0.16 μs	10.6 ± 0.18 μs	0.999
rand/("SequentialSamplingModels.DDM", 10)	3.92 ± 0.56 μs	3.93 ± 0.56 μs	0.997
rand/("SequentialSamplingModels.DDM", 100)	0.0385 ± 0.002 ms	0.0384 ± 0.002 ms	1
rand/("SequentialSamplingModels.LBA", 10)	3.25 ± 0.32 μs	3.27 ± 0.33 μs	0.992
rand/("SequentialSamplingModels.LBA", 100)	16.5 ± 0.53 μs	16.4 ± 0.45 μs	1
rand/("SequentialSamplingModels.LCA", 10)	0.767 ± 0.25 ms	0.761 ± 0.25 ms	1.01
rand/("SequentialSamplingModels.LCA", 100)	8.35 ± 0.24 ms	8.2 ± 0.31 ms	1.02
rand/("SequentialSamplingModels.LNR", 10)	1.1 ± 0.45 μs	1.1 ± 0.45 μs	1
rand/("SequentialSamplingModels.LNR", 100)	7.65 ± 3.8 μs	7.58 ± 3.9 μs	1.01
rand/("SequentialSamplingModels.RDM", 10)	1.38 ± 0.43 μs	1.37 ± 0.44 μs	1.01
rand/("SequentialSamplingModels.RDM", 100)	11.1 ± 3.8 μs	11.1 ± 3.9 μs	0.994
rand/("SequentialSamplingModels.Wald", 10)	0.464 ± 0.16 μs	0.458 ± 0.16 μs	1.01
rand/("SequentialSamplingModels.Wald", 100)	2.89 ± 0.2 μs	2.91 ± 0.21 μs	0.993
rand/("SequentialSamplingModels.WaldMixture", 10)	1.18 ± 0.15 μs	1.18 ± 0.15 μs	0.997
rand/("SequentialSamplingModels.WaldMixture", 100)	11.3 ± 0.2 μs	11.3 ± 0.21 μs	0.999
simulate/SequentialSamplingModels.DDM	3.75 ± 1.6 μs	3.69 ± 1.6 μs	1.02
simulate/SequentialSamplingModels.LBA	3.76 ± 0.4 μs	3.73 ± 0.39 μs	1.01
simulate/SequentialSamplingModels.LCA	0.103 ± 0.022 ms	0.101 ± 0.019 ms	1.02
simulate/SequentialSamplingModels.RDM	0.102 ± 0.035 ms	0.0966 ± 0.031 ms	1.05
simulate/SequentialSamplingModels.Wald	9.37 ± 4.7 μs	9.44 ± 4.8 μs	0.993
simulate/SequentialSamplingModels.WaldMixture	4.05 ± 1.6 μs	3.99 ± 1.6 μs	1.02
time_to_load	3.73 ± 0.041 s	3.69 ± 0.0082 s	1.01

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).