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281 to 290 of 134,712 Results
m5_evaluations_2.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 287.8 KB - MD5: 4158961170dd4812bdac415081b84a77
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_3.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: ee3ea1072907294bee714090c22bbff1
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_4.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 288.3 KB - MD5: 24224431e6902218a1b67d665e1c7373
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_5.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 288.2 KB - MD5: 721526003543615d79fd2eb6c1aaf179
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_6.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 288.6 KB - MD5: 7d19574d8a1fba65c2e9065e10d34bcd
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_7.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 289.7 KB - MD5: 17574da249732b68c1a51aac73f14ae2
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 - 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_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.
clean_dataset_1.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 6.4 MB - MD5: e45c11e9d5e24ec473ae9ea4945008df
This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
clean_dataset_10.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 6.4 MB - MD5: 63734ab0085d277fdbbfcb8437bcd07c
This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
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