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631 to 640 of 1,508 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 - 289.1 KB - MD5: cac3e547e0c1c818542176f031ab69aa
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_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.
m5_evaluations_9.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 288.9 KB - MD5: 9ceb5255d28e296dc5c46b5dd99eca3a
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.
population_effects_10.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 61.3 KB - MD5: e2f913e8d59e694e3a9d1e9bbdf67bad
This file contains the population effects used to simulate data for specific targets in specific data sets. Population effects are set to 0 or non-zero for evaluating model performance.
population_effects_10.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 56.5 KB - MD5: 6a74021f0d186f77a181699a9e62738e
This file contains the population effects used to simulate data for specific targets in specific data sets. Population effects are set to 0 or non-zero for evaluating model performance.
population_effects_1.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 56.8 KB - MD5: 9810ec4f54bbc8b567703d24734d27fd
This file contains the population effects used to simulate data for specific targets in specific data sets. Population effects are set to 0 or non-zero for evaluating model performance.
population_effects_1.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 61.0 KB - MD5: a3df1198664641d26b986fdb5e730b9f
This file contains the population effects used to simulate data for specific targets in specific data sets. Population effects are set to 0 or non-zero for evaluating model performance.
population_effects_2.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 56.1 KB - MD5: e7c9f058552cc3cb20676dcc3122b6dd
This file contains the population effects used to simulate data for specific targets in specific data sets. Population effects are set to 0 or non-zero for evaluating model performance.
population_effects_2.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 60.9 KB - MD5: d953cf15b6aa07a3deb56be207a12d14
This file contains the population effects used to simulate data for specific targets in specific data sets. Population effects are set to 0 or non-zero for evaluating model performance.
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