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1,011 to 1,020 of 1,116 Results
m1_evaluations_8.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 923.7 KB - MD5: 054f1d6197cb9ca1653a9c7a404e967a
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_9.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 921.0 KB - MD5: f37d05c3a389df203aeabbc696b41d31
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.
m2_evaluations_1.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 928.7 KB - MD5: 84b1a77af42e920009d68b7fece9090c
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.
m2_evaluations_10.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 926.9 KB - MD5: 3f376044416327878b557721f6c53210
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.
m2_evaluations_2.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 926.8 KB - MD5: 8f398cc86e5229f227da0c930e911841
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.
m2_evaluations_3.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 930.1 KB - MD5: 26153ddd8efa27b2222b76a6f8d3d656
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.
m2_evaluations_4.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 927.8 KB - MD5: ceb79459ab61ed740628ebd13da2de4f
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.
m2_evaluations_5.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 927.7 KB - MD5: fdfe41c3ec6dbfb8243001a712a2823f
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.
m2_evaluations_6.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 928.8 KB - MD5: c2dac8ca522cd5641d8e006c7c3911a5
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.
m2_evaluations_7.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 931.0 KB - MD5: 2ed8e63c41c633c6ca2adf1196c7d59a
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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