tests/testthat/_snaps/TLSWsim.md

In EuanMcGonigle/TrendLSW: Wavelet Methods for Analysing Locally Stationary Time Series

TLSWsim gives same output

c(0.006, 0.78, -1.806, 1.276, 0.563, -0.899, 0.097, 0.471, 0.588, 
-1.46, 0.644, 0.699, 0.911, -2.057, 1.675, -0.029, -0.361, 0.533, 
0.358, -0.261, -0.143, 0.714, 1.41, -1.741, 0.879, 0.073, 1.268, 
-0.244, -0.04, -0.062, 1.244, -0.645, 0.605, 1.005, -0.421, 0.896, 
0.309, -0.445, 0.683, 1.026, 0.338, -0.458, 0.496, 1.296, 0.347, 
-0.238, 0.604, 1.108, -0.571, 0.916, 0.754, 0.087, 2.2, -1.785, 
0.337, 2.157, 0.515, -0.143, 1.387, -1.335, 2.694, -0.743, 1.134, 
0.62, 0.133, 2.477, -1.606, 2.343, -1.435, 2.378, 0.751, -0.805, 
2.306, 0.585, -0.328, 1.748, 0.071, 0.673, 1.407, 0.873, 0.118, 
0.037, 3.321, -1.249, 1.461, 0.198, 1.964, -0.232, 1.4, 1.669, 
-0.554, 1.697, 1.119, -0.439, 1.641, 1.789, -0.074, 1.747, 0.349, 
1.202, 0.439, 1.873, 0.416, 2.139, -1.069, 2.533, 0.782, 1.077, 
-0.334, 3.563, 0.095, -0.464, 3.152, 0.074, 1.442, 1.219, 1.041, 
0.473, 2.276, 1.152, -0.55, 2.911, 0.902, 1.169, 0.512, 1.855, 
0.923, 1.838, 0.796, 1.209, 1.631, 0.289, 2.977, -0.689, 3.358, 
-0.144, 1.895, 1.119, 1.266, 2.772, -1.68, 4.253, -0.296, 3.117, 
1.04, -1.237, 3.387, 2.122, 1.629, -0.192, 2.199, 1.163, 1.859, 
2.281, 0.924, -0.201, 3.928, 1.772, -1.282, 3.759, 1.66, 0.24, 
2.561, 2.445, -1.531, 4.064, 2.038, 1.023, 1.738, 0.087, 3.638, 
0.547, 2.078, 1.973, 1.923, 1.394, 0.929, 2.291, 1.432, 3.492, 
-0.864, 2.974, 2.902, 0.331, 2.618, 0.252, 3.567, 1.086, 2.454, 
1.202, 1.848, 2.451, 0.38, 4.053, 1.165, 0.322, 4.047, 0.456, 
3.311, 1.542, 0.844, 1.675, 3.71, 3.033, -1.559, 4.197, 1.6, 
2.296, 1.634, 2.382, 1.197, 3.056, 2.922, 0.223, 1.965, 3.5, 
2.271, 0.449, 3.041, 3.015, 0.67, 2.894, 2.354, 2.675, -0.119, 
4.242, 2.709, 0.68, 2.022, 3.022, 3.475, 0.727, 2.144, 2.931, 
1.957, 2.086, 3.465, 0.778, 3.614, 1.59, 2.137, 3.003, 2.432, 
0.89, 4.631, 1.03, 2.829, 2.479, 1.792, 3.053, 2.016, 3.005, 
2.576, 1.404, 2.506, 4.684, 0.117, 3.42, 2.774, 1.467, 3.787, 
2.57, 1.939, 2.061, 3.26, 2.604, 2.813, 2.053, 3.225, 2.086, 
2.943, 3.607, 0.368, 4.292, 1.57, 4.716, 0.492, 4.662, 0.947, 
3.747, 2.932, 1.358, 4.076, 2.209, 3.372, 2.721, 2.057, 3.312, 
2.362, 3.685, 1.776, 3.443, 3.903, 0.649, 4.714, 1.936, 2.782, 
3.599, 2.661, 2.416, 4.338, 0.862, 5.373, 0.963, 3.391, 3.46, 
2.39, 4.456, 1.765, 2.654, 3.582, 3.258, 3.379, 2.551, 2.314, 
4.036, 2.606, 4.458, 2.039, 2.943, 2.517, 3.662, 4.993, 0.822, 
3.77, 3.581, 2.855, 3.979, 1.4, 4.379, 4.284, 2.055, 2.496, 5.125, 
1.918, 3.154, 3.902, 3.461, 3.179, 2.517, 4.948, 1.248, 3.914, 
5.126, 2.328, 2.161, 5.336, 2.56, 2.746, 3.713, 3.678, 3.798, 
3.847, 1.541, 4.523, 4.18, 2.138, 4.811, 2.265, 5.96, -0.267, 
6.181, 3.046, 3.701, 3.158, 3.421, 3.208, 4.45, 4.124, 2.596, 
3.386, 4.457, 2.842, 4.895, 2.368, 3.913, 4.41, 3.867, 2.207, 
4.529, 3.088, 5.817, 2.155, 2.739, 5.032, 4.61, 1.21, 6.88, 2.628, 
2.724, 4.92, 2.889, 4.302, 4.375, 4.328, 1.329, 5.958, 4.409, 
2.849, 3.829, 2.964, 5.914, 2.96, 3.965, 4.03, 4.407, 3.69, 2.465, 
6.39, 3.438, 2.985, 3.693, 5.821, 3.636, 3.09, 3.523, 5.687, 
5.033, 1.166, 4.866, 5.099, 3.404, 6.122, 1.544, 3.782, 6.802, 
2.551, 4.088, 4.513, 5.015, 2.174, 6.647, 2.653, 4.427, 4.876, 
3.046, 5.247, 4.441, 3.583, 5.411, 2.67, 6.01, 2.386, 4.733, 
6.666, 2.65, 3.875, 4.532, 6.389, 1.407, 5.966, 3.931, 5.29, 
4.47, 3.063, 4.378, 6.467, 3.22, 4.32, 5.755, 2.49, 5.526, 4.532, 
4.481, 4.363, 5.655, 3.683, 3.953, 4.494, 5.65, 4.987, 3.816, 
4.32, 4.151, 6.567, 3.291, 5.104, 3.861, 5.308, 4.422, 5.138, 
4.838, 5.309, 2.943, 4.706, 5.795, 4.78, 5.196, 3.623, 5.999, 
2.584, 8.009, 3.273, 2.713, 8.122, 3.013, 5.895, 3.835, 5.834, 
3.858, 5.368, 5.704, 4.347, 4.24, 4.723, 7.005, 3.476, 3.915, 
6.44, 5.437, 4, 5.194)

EuanMcGonigle/TrendLSW documentation built on June 9, 2025, 9:03 p.m.