nistats | Modeling and statistical inference on fMRI data in Python | Analytics library

by nilearn Python Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | nistats Summary

nistats is a Python library typically used in Analytics applications. nistats has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Modeling and statistical inference on fMRI data in Python

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Quality

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nistats has a low active ecosystem.

It has 88 star(s) with 59 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 182 have been closed. On average issues are closed in 269 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nistats is current.

Quality

nistats has 0 bugs and 0 code smells.

Security

nistats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nistats code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nistats is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

nistats releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

nistats saves you 4138 person hours of effort in developing the same functionality from scratch.

It has 8788 lines of code, 407 functions and 78 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed nistats and discovered the below as its top functions. This is intended to give you an instant insight into nistats implemented functionality, and help decide if they suit your requirements.

Generate a MNI summary report
Compute a threshold based on the threshold
Return a pandas dataframe with cluster information
Validate report size
Compute the design matrix
Generate a design matrix
Compute the regressor
Checks that the given events are valid
Performs first - level first - level first - level first - level model
Get BIDS files
Parse BIDS filename
Compute contrast between the design matrix
Compute contrast between label and contrast
Fetch a dataset index
Download OpenNeuro dataset index
Fit the model
Generate a 2 - level design matrix
Performs clustering on a single image
Run the Glm model
Download OpenNEuro dataset index
Log likelihood
Compute the contrast between the label and the given label
Select subjects from a list of urls
Generate a 2 - dimensional design matrix from subject labels
Compute fixed effects
Compute contrast between two design matrices
Compares two reference image sets
Get a pandas dataframe from a stat
Fits a non - parametric model
Generate a design matrix for a first - level design matrix
Compute the threshold for a given image threshold

Get all kandi verified functions for this library.

nistats Key Features

No Key Features are available at this moment for nistats.

nistats Examples and Code Snippets

No Code Snippets are available at this moment for nistats.

Community Discussions

Trending Discussions on nistats

Windows PermissionError & tempfile module

QUESTION

Windows PermissionError & tempfile module

Asked 2018-Dec-17 at 13:15

We use tempfile module to generate temporary files & dirs during our tests. We recently started testing on Windows as well and ran into a bunch of Windows PermissionErrors.

I initially thought this may be because Windows, unlike Unix does not allow simultaneous access to a file. When I looked at the code, this was happening even without simultaneous file access.

The one common thread seemed to be the error happened when we used tempfile module's structures in context (with statement). The error disappears when we use a manual try-except-finally.

I am working on ways to fix this, the aforementioned try-except-finally is on the table as well.

Anyone else has encountered this or has any insight?

This is our test function (nosetests but I don't think that's the problem)

...

ANSWER

Answered 2018-Dec-17 at 13:15

Replacing nibabel.tmpdirs.InTemporaryDirectory with Python's tempfile.TemporaryDirectory solves the problem.

Perhaps Nibabel's version is not closing the file before cleanup? Not sure what's going on here, this solved my question.

Source https://stackoverflow.com/questions/53725979

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nistats

You can download it from GitHub.
You can use nistats like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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