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1,001 to 1,010 of 1,116 Results
m5_evaluations_8.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 266.2 KB - MD5: cf1d1b373938d5157514a7cb15abb83f
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m5_evaluations_9.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 266.2 KB - MD5: ec8f8c7edc5f78dbedf6ee2c3e3f8758
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_evaluations_1.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 919.9 KB - MD5: 7e685ec12de40a0f0ea70acde284e65a
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_evaluations_10.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 917.2 KB - MD5: b7633cda4855209dc3db5e3c9e53e747
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_evaluations_2.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 918.3 KB - MD5: 664e6446e1b562b4d3d11ccff0a6ed5d
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_evaluations_3.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 923.3 KB - MD5: 0ba9792c2a5b92b37a53600d76089927
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_evaluations_4.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 919.4 KB - MD5: cc9cfd36180d12c38c8261f96355cd94
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_evaluations_5.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 919.3 KB - MD5: f38b85bd6f93da4faf5660c7b9649551
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_evaluations_6.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 919.8 KB - MD5: 1c3a3c5c3ba9840aaa34ed2b0899d87e
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_evaluations_7.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 923.8 KB - MD5: 00e0cfdafe73e82ab26fbe8788810da6
This file contains model evaluations for a specific model and data set, stored in `data_sim/evaluations` and `data_sim/evaluations2`. The naming convention follows `[model]_evaluation_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
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