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Port of the 'Scilab' 'n1qn1' Modules for Un-constrained BFGS Optimization

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Fast and Scalable Approximate k-Nearest Neighbor Search Methods using 'N2' Library

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Comprehensive Library for Working with Missing (NA) Values in Vectors

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Wraps 'libnabo', a Fast K Nearest Neighbour Library for Low Dimensions

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High Performance Implementation of the Naive Bayes Algorithm

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Nonparametric Additive Instrumental Variable Estimator and Related IV Methods

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Provide namespace managment functions not (yet) present in base R

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Data Structures, Summaries, and Visualisations for Missing Data

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High-Level Data Analysis and Manipulation in 'tidyverse' Style

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Tools for Nanoparticle Simulation and Calculation of PDF and Total Scattering Structure Function

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Performs Quality Control, Data Normalization, and Batch Effect Correction for 'NanoString nCounter' Data

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Nonlinear Cointegrating Autoregressive Distributed Lag Model

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Collection of datasets from the ASA 2006 data expo

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NeuroAnatomy Toolbox ('nat') Extension for Assessing Neuron Similarity and Clustering

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NeuroAnatomy Toolbox ('nat') Extension for Handling Template Brains

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File System Utility Functions for 'NeuroAnatomy Toolbox'

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Navigated Weighting for the Inverse Probability Weighting

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Maximum Likelihood method in estimating effective population size from genetic data

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NBD-Dirichlet Model of Consumer Buying Behavior for Marketing Research

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Design and Monitoring of Clinical Trials with Negative Binomial Endpoint

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Network-Based R-Statistics using Mixed Effects Models

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Interactive Document for Working with Naive Bayes Classification

a year ago by Kartikeya Bolar

Interactive Document for Working with Naive Bayes Classification

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Interactive Document for Working with Naive Bayes Classification

a year ago by David Pierce

Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files

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Miscellaneous Functions for Creating Adaptive Functions and Scripts

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Hierarchical Archimedean Copulas Constructed with Multivariate Compound Distributions

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Unified Algorithm for Non-convex Penalized Estimation for Generalized Linear Models

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Regularization Paths for SCAD and MCP Penalized Regression Models

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Interactive Presentation for Working with Normal Distribution

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Calculating Effective Sizes Based on Known Demographic Parameters of a Population

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Negative Binomial and Beta Binomial Bayesian Regression Models

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Classification, Regression, Clustering with K Nearest Neighbors