High Performance Implementation of the Naive Bayes Algorithm

Nonparametric Additive Instrumental Variable Estimator and
Related IV Methods
R package naivereg version 1.0.5

Create Visual Citations for Presentations and Posters

Using Needleman-Wunsch to Match Sample Names

Named Entity Recognition in Texts using 'NameTag'

Data Structures, Summaries, and Visualisations for Missing Data

Interface to the 'nanoarrow' 'C' Library

NNG (Nanomsg Next Gen) Lightweight Messaging Library

Performs Quality Control, Data Normalization, and Batch Effect
Correction for 'NanoString nCounter' Data
R package nanostringr version 0.6.1

Nanosecond-Resolution Time Support for R

Non-Local Alternative Priors in Psychology

A Flexible and Robust Sys.sleep() Replacement

Nonlinear Cointegrating Autoregressive Distributed Lag Model

Neural AutoRegressive Fractionally Integrated Moving Average
Model

Subset- And Name-Aware Array Utility Functions

Native Access Medical Record Retriever for High Yield Analytics

Access National Aeronautics and Space Administration (NASA) APIs

Collection of Datasets from the ASA 2006 Data Expo

NeuroAnatomy Toolbox for Analysis of 3D Image Data

NeuroAnatomy Toolbox ('nat') Extension for Assessing Neuron
Similarity and Clustering
R package nat.nblast version 1.6.8

NeuroAnatomy Toolbox ('nat') Extension for Handling Template
Brains
R package nat.templatebrains version 1.2.1

File System Utility Functions for 'NeuroAnatomy Toolbox'

Fast C++ Primitives for the 'NeuroAnatomy Toolbox'

Install the 'Natverse' Packages from Scratch

Color Palettes Inspired by National Parks
R package NatParksPalettes version 0.2.0

Estimating the Error Variance in a High-Dimensional Linear Model

Classify Occurrences by Confidence Levels in the Species ID

Analyze the Impact of Sensor Error Modelling on Navigation
Performance

Navigation Menu for Pipe-Friendly Data Processing

Navigated Weighting for the Inverse Probability Weighting

Neighbour Balanced Block Designs (NBBDesigns)

Bayes Classifier for Verbal Autopsy Data

Determining the Best Number of Clusters in a Data Set