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Add missing private annotations
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lib/node_modules/@stdlib/assert/is-boolean/lib/try2serialize.js

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@@ -28,6 +28,7 @@ var toString = require( './tostring.js' ); // eslint-disable-line stdlib/no-rede
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/**
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* Attempts to serialize a value to a string.
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*
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* @private
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* @param {*} value - value to test
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* @returns {boolean} boolean indicating if a value can be serialized
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*/

lib/node_modules/@stdlib/nlp/lda/lib/fit.js

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@@ -30,6 +30,7 @@ var avgMatrix = require( './avg_matrix.js' );
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/**
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* Fit model using collapsed Gibbs sampling.
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*
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* @private
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* @param {PositiveInteger} iter - number of sampling iterations
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* @param {PositiveInteger} burnin - number of estimates to be thrown away at beginning
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* @param {PositiveInteger} thin - number of discarded in-between iterations

lib/node_modules/@stdlib/nlp/lda/lib/get_phis.js

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/**
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* Get the phi matrix. Each row is a topic distribution over words.
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*
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* @private
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* @returns {Matrix} phi parameter matrix
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*/
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function getPhis() {

lib/node_modules/@stdlib/nlp/lda/lib/get_thetas.js

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/**
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* Get theta matrix. Its rows correspond to document distributions over topics.
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*
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* @private
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* @returns {Matrix} theta parameter matrix
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*/
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function getThetas() {

lib/node_modules/@stdlib/stats/anova1/lib/mean.js

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2018 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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/**
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* Computes the arithmetic mean of a numeric array.
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*
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* @private
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* @param {NumericArray} arr - input array
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* @returns {number} arithmetic mean
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*/

lib/node_modules/@stdlib/stats/anova1/lib/mean_table.js

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@@ -28,6 +28,7 @@ var incrstdev = require( '@stdlib/stats/incr/stdev' );
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/**
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* Computes the vector of means for each treatment.
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*
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* @private
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* @param {NumericArray} x - measured values
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* @param {Array} factor - array of treatments
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* @param {Array} treats - unique treatments

lib/node_modules/@stdlib/stats/kde2d/lib/max.js

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/**
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* Returns the maximum value.
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*
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* @private
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* @param {ndarrayLike} arr - input array
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* @param {number} j - column index for which to get the maximum
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* @param {number} len - number of rows in arr

lib/node_modules/@stdlib/stats/kde2d/lib/min.js

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/**
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* Returns the minimum value.
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*
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* @private
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* @param {ndarrayLike} arr - input array
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* @param {number} j - column index for which to get the range
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* @param {number} len - number of rows in arr

lib/node_modules/@stdlib/stats/kde2d/lib/range.js

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/**
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* Returns the arithmetic range.
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*
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* @private
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* @param {ndarrayLike} arr - input array
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* @param {number} j - column index for which to get the range
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* @param {number} len - number of rows in arr

lib/node_modules/@stdlib/stats/ranks/lib/validate.js

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/**
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* Validates function options.
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*
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* @private
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* @param {Object} opts - destination for validated options
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* @param {Object} options - function options
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* @param {string} [options.method] - method determining how ties are treated

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