University of Inland Norway

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871 to 880 of 1,133 Results

02_CensorshipEndorsement-Data-2025-02-23.dat Feb 27, 2025 - Replication Data for: Unpacking drivers of online censorship endorsement: Psychological and demographic factors Fixed Field Text Data - 34.1 KB - MD5: e65cc62ff8c1d0c95f9e44e83281ef11 The raw data, SPSS file, .dat (open format)
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Mar 25, 2026 Chidimma Echebiri; Ellefsen, Stian; Ahmad, Rafi; Hammarström, Daniel, 2026, "Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data", https://doi.org/10.18710/I7U71O, DataverseNO, V1 The datasets in this repository contain simulated data and results from their analyses, which can be used to replicate the results in the paper "seqwrap: an R package for flexible iterative fitting of high-dimensional data". The files in this folder should be placed in a folder named `data_sim` and added to the root folder available at https://www....
00_README.txt Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Plain Text - 5.3 KB - MD5: 45b711f581c7c1255906694020427d97
clean_dataset_10.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 7.0 MB - MD5: 8d368977ffab6609cda740b7f6dcf170 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.
clean_dataset_1.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 7.0 MB - MD5: e5933eff14a488d7d2ce98c459bd8ea4 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_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_2.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 7.0 MB - MD5: ea1ebd62e0f55de44f52064eab43c85d 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_2.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 6.3 MB - MD5: 44c1871955190d299c9e64e8ba6972a9 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_3.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: 1a6bac9cff873f3a88e8c27836be25ae 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.

02_CensorshipEndorsement-Data-2025-02-23.dat

Feb 27, 2025 - Replication Data for: Unpacking drivers of online censorship endorsement: Psychological and demographic factors

Fixed Field Text Data - 34.1 KB -

The raw data, SPSS file, .dat (open format)

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

Mar 25, 2026

Chidimma Echebiri; Ellefsen, Stian; Ahmad, Rafi; Hammarström, Daniel, 2026, "Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data", https://doi.org/10.18710/I7U71O, DataverseNO, V1

The datasets in this repository contain simulated data and results from their analyses, which can be used to replicate the results in the paper "seqwrap: an R package for flexible iterative fitting of high-dimensional data". The files in this folder should be placed in a folder named `data_sim` and added to the root folder available at https://www....

00_README.txt

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

Plain Text - 5.3 KB -

clean_dataset_10.RDS

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

Unknown - 7.0 MB -