Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

851 to 860 of 1,065 Results
m1_estimates_1.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB - MD5: ebca9c2d77785972b12e29ff7f4443d3
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_estimates_10.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB - MD5: b2f118c9b37bb83de46a8237133e2872
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_estimates_2.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB - MD5: 5e27f13cf525e9ac43acf2ac69a6ca54
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_estimates_3.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB - MD5: 651747d28e312493f5c2e7e86ed608a8
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_estimates_4.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB - MD5: f8e7883c82081ab7c39c2d7e901b4eea
m1_estimates_5.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB - MD5: 51c0bdf05f513fd584110c1b7315b1d7
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_estimates_6.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB - MD5: 5a28cb0ab26b910fca34029679b28dba
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_estimates_7.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB - MD5: bb4461d6848fb106b971ddfdc7d62d3e
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_estimates_8.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB - MD5: 802721625130688692bc52dc8e5edb35
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
m1_estimates_9.RDS
Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB - MD5: cd1df2a53ef2c896fe84da77ee1820db
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.