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MF Norwegian School of Theology, Religion and Society

Nofima

Nord University

Norwegian Institute of Bioeconomy Research (NIBIO)

Norwegian University of Life Sciences (NMBU)

NTNU – Norwegian University of Science and Technology

OsloMet – Oslo Metropolitan University

UiT The Arctic University of Norway

University of Agder

University of Bergen

University of Inland Norway

University of Oslo

University of South-Eastern Norway

University of Stavanger

VID Specialized University

Western Norway University of Applied Sciences

Østfold University College

TROLLing

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411 to 420 of 138,947 Results

population_effects_5.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 61.1 KB - MD5: 4581a6b43f7010c1736df6f78eeb2653 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_6.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 61.2 KB - MD5: 9f260e9464ed63ffd18a692abfd097b0 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_7.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 61.7 KB - MD5: cd3fe5670f825511c169b2fababcb7c2 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_8.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 61.2 KB - MD5: 01fc3717f7617bce25700d79c1ef554e 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_9.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: 0ad91adb1a784edda981df41488f5c85 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.
dataset_1.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 19.8 MB - MD5: 4b234b82839d37da68f3b872312b6c15 This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters.
dataset_10.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 19.7 MB - MD5: 04b158d3fbb395f91c78d0dd7e9c5034 This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters.
dataset_2.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 19.8 MB - MD5: 012ac7c590c3cfbdab27f68fc3006ae5 This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters.
dataset_3.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 19.8 MB - MD5: f227fb2fa3712005cac1d44cae8686a1 This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters.
dataset_4.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 19.7 MB - MD5: 3cb584dd2cde918fca941ee1db75be8a This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters.

population_effects_5.RDS

Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data

Unknown - 61.1 KB -

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_6.RDS

Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data

Unknown - 61.2 KB -

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_7.RDS

Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data

Unknown - 61.7 KB -

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_8.RDS

Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data

Unknown - 61.2 KB -

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_9.RDS

Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data

Unknown - 61.0 KB -

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.

dataset_1.RDS

Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data

Unknown - 19.8 MB -