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neurobase  

'Neuroconductor' Base Package with Helper Functions for 'nifti' Objects
View on CRAN: Click here


Download and install neurobase package within the R console
Install from CRAN:
install.packages("neurobase")

Install from Github:
library("remotes")
install_github("cran/neurobase")

Install by package version:
library("remotes")
install_version("neurobase", "1.34.0")



Attach the package and use:
library("neurobase")
Maintained by
John Muschelli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-27
Latest Update: 2025-07-23
Description:
Base package for 'Neuroconductor', which includes many helper functions that interact with objects of class 'nifti', implemented by package 'oro.nifti', for reading/writing and also other manipulation functions.
How to cite:
John Muschelli (2016). neurobase: 'Neuroconductor' Base Package with Helper Functions for 'nifti' Objects. R package version 1.34.0, https://cran.r-project.org/web/packages/neurobase. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.1.1.1 (2016-09-27 08:41), 1.9.2 (2017-01-06 10:11), 1.13.2 (2017-03-03 21:25), 1.26.1 (2018-02-01 23:27), 1.27.6 (2018-11-20 18:10), 1.27.11 (2019-09-10 21:20), 1.29.0 (2020-01-14 17:10), 1.32.0 (2021-03-31 08:10), 1.32.1 (2021-04-07 22:50), 1.32.2 (2022-08-24 09:10), 1.32.3 (2022-10-23 18:32), 1.32.4 (2024-05-09 19:40), 1.33.0 (2025-07-23 17:50)
Other packages that cited neurobase R package
View neurobase citation profile
Other R packages that neurobase depends, imports, suggests or enhances
Complete documentation for neurobase
Functions, R codes and Examples using the neurobase R package
Some associated functions: applyEmptyImageDimensions-methods . boxplot.nifti . breaker . check_mask . check_mask_fail . check_nifti-methods . check_nifti_header-methods . check_outfile . checkimg-methods . checknii-methods . checkniigz-methods . cog . colorbar . copyNIfTIHeader . cut.nifti . datatype . density.nifti . dicer . double_ortho . dropEmptyImageDimensions . emptyImageDimensionsMask . ensure_array . fast_dice_tab . fast_readnii . file_imgext . finite_img-methods . flip_img . getEmptyImageDimensions . hist.nifti . images2matrix . img_colour_df . img_indices . img_list_to_ts . img_ts_to_df . img_ts_to_list . img_ts_to_matrix . maskEmptyImageDimensions-methods . mask_img . mask_vals-methods . mean.nifti . minmax_img-methods . multi_overlay . newnii . niftiarr . nii.stub . orient_rpi . ortho2 . ortho_diff . parse_img_ext . quantile.nifti . quantile_img . random_nifti . randomize_mask . readNIfTI2 . read_rpi . remake_img . remap_filename . replaceEmptyImageDimensions-methods . replace_dropped_dimensions . replace_outside_surface . rescale_img . reverse_orient_rpi . robust_window . same_dims . separate_img-methods . slice_colour_df . subset_dti-methods . tempimg . window_img . writeNIfTI2 . write_nifti . xyz . zero_pad . zlimmer . zscore_img . 
Some associated R codes: applyEmptyImageDimensions.R . boxplot.nifti.R . breaker.R . check_mask.R . check_nifti.R . check_nifti_header.R . check_outfile.R . checkimg.R . checknii.R . checkniigz.R . cog.R . copyNIfTIHeader.R . cut.R . density.nifti.R . dicer.R . double_ortho.R . dropEmptyImageDimensions.R . emptyImageDimensionsMask.R . ensure_array.R . fast_dice.R . fast_readnii.R . file_imgext.R . finite_img.R . flip_img.R . getEmptyImageDimensions.R . hist.nifti.R . images2matrix.R . img_color_df.R . img_indices.R . img_ts_to_list.R . import_methods.R . maskEmptyImageDimensions.R . mask_img.R . mask_vals.R . mean.nifti.R . minmax_img.R . niftiarr.R . nii.stub.R . orient_rpi.R . ortho2.R . ortho_diff.R . overlay2.R . parse_img_ext.R . quantile.nifti.R . quantile_img.R . random_nifti.R . randomize_mask.R . readNIfTI2.R . read_rpi.R . remake_img.R . remap_filename.R . replaceEmptyImageDimensions.R . replace_dropped_dimensions.R . replace_outside_hull.R . rescale_img.R . robust_window.R . same_dims.R . separate_img.R . slice_colour_df.R . subset_dti.R . tempimg.R . window_img.R . write_nifti.R . writenii.R . zero_pad.R . zlimmer.R . zscore_img.R .  Full neurobase package functions and examples
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