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remove: remove stats/base/dsnanmeanors from namespace
This commit removes the `dsnanmeanors` symbol from the `@stdlib/stats/base` namespace due to a package migration.
BREAKING CHANGE: remove `stats/base/dsnanmeanors`
To migrate, users should access the same symbol via the `@stdlib/stats/strided/dsnanmeanors` namespace.
Ref: #4797
---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
- task: lint_filenames
status: passed
- task: lint_editorconfig
status: passed
- task: lint_markdown
status: na
- task: lint_package_json
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- task: lint_repl_help
status: na
- task: lint_javascript_src
status: passed
- task: lint_javascript_cli
status: na
- task: lint_javascript_examples
status: na
- task: lint_javascript_tests
status: na
- task: lint_javascript_benchmarks
status: na
- task: lint_python
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- task: lint_r
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- task: lint_c_src
status: na
- task: lint_c_examples
status: na
- task: lint_c_benchmarks
status: na
- task: lint_c_tests_fixtures
status: na
- task: lint_shell
status: na
- task: lint_typescript_declarations
status: passed
- task: lint_typescript_tests
status: na
- task: lint_license_headers
status: passed
---
* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
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*
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* @param N - number of indexed elements
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* @param x - input array
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* @param strideX - stride length
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* @returns arithmetic mean
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*
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* @example
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* var Float32Array = require( '@stdlib/array/float32' );
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*
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* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
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*
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* var v = ns.dsnanmeanors( x.length, x, 1 );
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* // returns ~0.3333
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*
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* @example
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* var Float32Array = require( '@stdlib/array/float32' );
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*
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* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
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*
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* var v = ns.dsnanmeanors.ndarray( x.length, x, 1, 0 );
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* // returns ~0.3333
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*/
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dsnanmeanors: typeofdsnanmeanors;
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/**
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* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.
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