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n1qn1 — 6.0.1-11

Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS Optimization

N2H4 — 0.8.4

Handling Methods for Naver News Text Crawling

N2R — 1.0.3

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

na.tools — 0.3.1

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

naaccr — 2.0.2

Read Cancer Records in the NAACCR Format

nabor — 0.5.0

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

NAC — 0.1.0

Network-Adjusted Covariates for Community Detection

NACHO — 2.0.6

NanoString Quality Control Dashboard

NADA — 1.6-1.1

Nondetects and Data Analysis for Environmental Data

NADA2 — 1.1.6

Data Analysis for Censored Environmental Data

NADIA — 0.4.2

NA Data Imputation Algorithms

NAEPirtparams — 1.0.0

IRT Parameters for the National Assessment of Education Progress

NAEPprimer — 1.0.1

The NAEP Primer

naflex — 0.1.0

Flexible Options for Handling Missing Values

naijR — 0.6.0

Operations to Ease Data Analyses Specific to Nigeria

NAIR — 1.0.4

Network Analysis of Immune Repertoire

naive — 1.2.3

Empirical Extrapolation of Time Feature Patterns

naivebayes — 1.0.0

High Performance Implementation of the Naive Bayes Algorithm

naivereg — 1.0.5

Nonparametric Additive Instrumental Variable Estimator and Related IV Methods

nakagami — 1.1.0

Functions for the Nakagami Distribution

NAM — 1.7.3

Nested Association Mapping

name — 0.0.1

Tools for Working with Names

namedropR — 2.4.1

Create Visual Citations for Presentations and Posters

NameNeedle — 1.2.7

Using Needleman-Wunsch to Match Sample Names

namer — 0.1.8

Names Your 'R Markdown' Chunks

nametagger — 0.1.3

Named Entity Recognition in Texts using 'NameTag'

nandb — 2.1.0

Number and Brightness Image Analysis

naniar — 1.1.0

Data Structures, Summaries, and Visualisations for Missing Data

nanoarrow — 0.4.0.1

Interface to the 'nanoarrow' 'C' Library

nanonext — 0.13.2

NNG (Nanomsg Next Gen) Lightweight Messaging Library

nanostringr — 0.4.1

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

nanotime — 0.3.7

Nanosecond-Resolution Time Support for R

NAP — 1.1

Non-Local Alternative Priors in Psychology

naptanr — 1.0.1

Call the 'NaPTAN' API Through R

naptime — 1.3.0

A Flexible and Robust Sys.sleep() Replacement

nardl — 0.1.6

Nonlinear Cointegrating Autoregressive Distributed Lag Model

narray — 0.5.1

Subset- And Name-Aware Array Utility Functions

naryn — 2.6.26

Native Access Medical Record Retriever for High Yield Analytics

nasadata — 0.9.0

Interface to Various NASA API's

nasapower — 4.2.0

NASA POWER API Client

nasaweather — 0.1

Collection of datasets from the ASA 2006 data expo

NasdaqDataLink — 1.0.0

API Wrapper for Nasdaq Data Link

naspaclust — 0.2.1

Nature-Inspired Spatial Clustering

nat — 1.8.24

NeuroAnatomy Toolbox for Analysis of 3D Image Data

nat.nblast — 1.6.7

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

nat.templatebrains — 1.1

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

nat.utils — 0.6.1

File System Utility Functions for 'NeuroAnatomy Toolbox'

natcpp — 0.1.0

Fast C++ Primitives for the 'NeuroAnatomy Toolbox'

natmanager — 0.5.1

Install the 'Natverse' Packages from Scratch

NatParksPalettes — 0.2.0

Color Palettes Inspired by National Parks

natserv — 1.0.0

'NatureServe' Interface

natstrat — 2.0.0

Obtain Unweighted Natural Strata that Balance Many Covariates

natural — 0.9.0

Estimating the Error Variance in a High-Dimensional Linear Model

naturaList — 0.5.2

Classify Occurrences by Confidence Levels in the Species ID

naturalsort — 0.1.3

Natural Ordering

NatureSounds — 1.0.4

Animal Sounds for Bioacustic Analysis

navigation — 0.0.1

Analyze the Impact of Sensor Error Modelling on Navigation Performance

navigatr — 0.2.1

Navigation Menu for Pipe-Friendly Data Processing

nawtilus — 0.1.4

Navigated Weighting for the Inverse Probability Weighting

NB.MClust — 1.1.1

Negative Binomial Model-Based Clustering

NBAloveR — 0.1.3.3

Help Basketball Data Analysis

nbapalettes — 0.1.0

An NBA Jersey Palette Generator

NBBDesigns — 1.1.0

Neighbour Balanced Block Designs (NBBDesigns)

NBBttest — 1.0.1

Negative Binomial Beta t-Test

nbc4va — 1.2

Bayes Classifier for Verbal Autopsy Data

NbClust — 3.0.1

Determining the Best Number of Clusters in a Data Set

nbconv — 1.0.1

Evaluate Arbitrary Negative Binomial Convolutions

nbconvertR — 1.3.2

Vignette Engine Wrapping Jupyter Notebooks

NBDdirichlet — 1.4

NBD-Dirichlet Model of Consumer Buying Behavior for Marketing Research

NBDesign — 2.0.0

Design and Monitoring of Clinical Trials with Negative Binomial Endpoint

nberwp — 1.2.0

NBER Working Papers

nbfar — 0.1

Negative Binomial Factor Regression Models ('nbfar')

NBLDA — 1.0.1

Negative Binomial Linear Discriminant Analysis

nblR — 0.0.4

Data Extraction of Australian NBL Basketball Statistics

nbpMatching — 1.5.4

Functions for Optimal Non-Bipartite Matching

NBPSeq — 0.3.1

Negative Binomial Models for RNA-Sequencing Data

NBR — 0.1.5

Network-Based R-Statistics using Mixed Effects Models

NBShiny — 0.1.0

Interactive Document for Working with Naive Bayes Classification

NBShiny2 — 0.1.0

Interactive Document for Working with Naive Bayes Classification

NBShiny3 — 0.1.0

Interactive Document for Working with Naive Bayes Classification

nbTransmission — 1.1.4

Naive Bayes Transmission Analysis

NBtsVarSel — 1.0

Variable Selection in a Specific Regression Time Series of Counts

nc — 2024.2.21

Named Capture to Data Tables

NCA — 4.0.1

Necessary Condition Analysis

ncappc — 0.3.0

NCA Calculations and Population Model Diagnosis

ncar — 0.5.0

Noncompartmental Analysis for Pharmacokinetic Report

ncbit — 2013.03.29.1

Retrieve and Build NBCI Taxonomic Data

NCC — 1.0

Simulation and Analysis of Platform Trials with Non-Concurrent Controls

ncdf4 — 1.22

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

ncdf4.helpers — 0.3-6

Helper Functions for Use with the 'ncdf4' Package

ncdfgeom — 1.1.6

'NetCDF' Geometry and Time Series

ncdump — 0.0.3

Extract Metadata from 'NetCDF' Files as Data Frames

ncf — 1.3-2

Spatial Covariance Functions

ncmeta — 0.4.0

Straightforward 'NetCDF' Metadata

NCmisc — 1.2.0

Miscellaneous Functions for Creating Adaptive Functions and Scripts

ncodeR — 0.2.0.1

Techniques for Automated Classifiers

nCopula — 0.1.1

Hierarchical Archimedean Copulas Constructed with Multivariate Compound Distributions

ncpen — 1.0.0

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

NCSampling — 1.0

Nearest Centroid (NC) Sampling

NCSCopula — 1.0.1

Non-Central Squared Copula Models Estimation

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