All packages

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n1qn1 — 6.0.1-7

Port of the 'Scilab' 'n1qn1' and 'qnbd' Modules for (Un)constrained BFGS Optimization

N2H4 — 0.5.7

Handling Methods for Naver News Text Crawling

na.tools — 0.3.1

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

naaccr — 1.0.0

Read Cancer Records in the NAACCR Format

nabor — 0.5.0

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

NACHO — 1.0.0

NanoString Quality Control Dashboard

NADA — 1.6-1.1

Nondetects and Data Analysis for Environmental Data

nadiv — 2.16.2.0

(Non)Additive Genetic Relatedness Matrices

NAEPprimer — 1.0.1

The NAEP Primer

naijR — 0.0.7

Operations to Ease Data Analyses Specific to Nigeria

naivebayes — 0.9.7

High Performance Implementation of the Naive Bayes Algorithm

naivereg — 1.0.5

Nonparametric Additive Instrumental Variable Estimator and Related IV Methods

nakagami — 1.0.0

Functions for the Nakagami Distribution

NAM — 1.7.3

Nested Association Mapping

namedCapture — 2020.3.2

Named Capture Regular Expressions

NameNeedle — 1.2.6

Using Needleman-Wunsch to Match Sample Names

namer — 0.1.5

Names Your 'R Markdown' Chunks

namespace — 0.9.1

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

nandb — 2.0.6

Number and Brightness Image Analysis

naniar — 0.5.0

Data Structures, Summaries, and Visualisations for Missing Data

nanop — 2.0-6

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

NanoStringNorm — 1.2.1

Normalize NanoString miRNA and mRNA Data

nanostringr — 0.1.4

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

nanotime — 0.2.4

Nanosecond-Resolution Time for R

NAPPA — 2.0.1

Performs the Processing and Normalisation of Nanostring miRNA and mRNA Data

naptime — 1.3.0

A Flexible and Robust Sys.sleep() Replacement

nardl — 0.1.5

Nonlinear Cointegrating Autoregressive Distributed Lag Model

narray — 0.4.1

Subset- And Name-Aware Array Utility Functions

nasadata — 0.9.0

Interface to Various NASA API's

nasapower — 1.1.3

NASA POWER API Client

nasaweather — 0.1

Collection of datasets from the ASA 2006 data expo

nat — 1.8.14

NeuroAnatomy Toolbox for Analysis of 3D Image Data

nat.nblast — 1.6.5

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

nat.templatebrains — 0.9

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

nat.utils — 0.5.1

File System Utility Functions for 'NeuroAnatomy Toolbox'

nationwider — 1.1.0

Download House Price Data from Nationwide

natmanager — 0.4.0

Install the 'Natverse' Packages from Scratch

natserv — 0.3.0

'NatureServe' Interface

natural — 0.9.0

Estimating the Error Variance in a High-Dimensional Linear Model

naturalsort — 0.1.3

Natural Ordering

NatureSounds — 1.0.3

Animal Sounds for Bioacustic Analysis

NB — 0.9

Maximum Likelihood method in estimating effective population size from genetic data

NB.MClust — 1.1.1

Negative Binomial Model-Based Clustering

NBAloveR — 0.1.3.3

Help Basketball Data Analysis

nbc4va — 1.1

Bayes Classifier for Verbal Autopsy Data

NbClust — 3.0

Determining the Best Number of Clusters in a Data Set

nbconvertR — 1.3.2

Vignette Engine Wrapping Jupyter Notebooks

NBDdirichlet — 1.3

NBD-Dirichlet Model of Consumer Buying Behavior for Marketing Research

NBDesign — 1.0.0

Design and Monitoring of Clinical Trials with Negative Binomial Endpoint

NBLDA — 0.99.0

Negative Binomial Linear Discriminant Analysis

nbpMatching — 1.5.1

Functions for Optimal Non-Bipartite Matching

NBPSeq — 0.3.0

Negative Binomial Models for RNA-Sequencing Data

NBR — 0.1.2

Network Based Statistics in R for 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

nc — 2020.3.23

Named Capture to Data Tables

NCA — 3.0.2

Necessary Condition Analysis

nCal — 2018.8-20

Nonlinear Calibration

ncappc — 0.3.0

NCA Calculations and Population Model Diagnosis

ncar — 0.4.2

Noncompartmental Analysis for Pharmacokinetic Report

ncbit — 2013.03.29

retrieve and build NBCI taxonomic data

ncdf.tools — 0.7.1.295

Easier 'NetCDF' File Handling

ncdf4 — 1.17

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

ncdfgeom — 1.1.0

'NetCDF' Geometry and Time Series

ncdump — 0.0.3

Extract Metadata from 'NetCDF' Files as Data Frames

nCDunnett — 1.1.0

Noncentral Dunnett's Test Distribution

ncf — 1.2-9

Spatial Covariance Functions

ncg — 0.1.1

Computes the noncentral gamma function

ncmeta — 0.2.0

Straightforward 'NetCDF' Metadata

NCmisc — 1.1.6

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

NCutYX — 0.1.0

Clustering of Omics Data of Multiple Types with a Multilayer Network Representation

ncvreg — 3.11.2

Regularization Paths for SCAD and MCP Penalized Regression Models

ndjson — 0.8.0

Wicked-Fast Streaming 'JSON' ('ndjson') Reader

ndl — 0.2.18

Naive Discriminative Learning

NDP — 0.1.0

Interactive Presentation for Working with Normal Distribution

ndtv — 0.13.0

Network Dynamic Temporal Visualizations

NEArender — 1.5

Network Enrichment Analysis

nearfar — 1.2

Near-Far Matching

neariso — 1.0.1

Near-Isotonic Regression

neat — 1.2.1

Efficient Network Enrichment Analysis Test

NeatMap — 0.3.6.2

Non-clustered heatmap alternatives

neatmaps — 2.1.0

Heatmaps for Multiple Network Data

neatRanges — 0.1.3

Tidy Up Date/Time Ranges

neatStats — 1.0.4

Neat and Painless Statistical Reporting

needmining — 0.1.1

A Simple Needmining Implementation

needs — 0.0.3

Attaches and Installs Packages

needy — 0.2

needy

NEff — 1.1

Calculating Effective Sizes Based on Known Demographic Parameters of a Population

NegBinBetaBinreg — 1.0

Negative Binomial and Beta Binomial Bayesian Regression Models

negenes — 1.0-12

Estimating the Number of Essential Genes in a Genome

neighbr — 1.0.3

Classification, Regression, Clustering with K Nearest Neighbors

neldermead — 1.0-11

R Port of the 'Scilab' Neldermead Module

neo2R — 2.1.0

Neo4j to R

neo4r — 0.1.1

A 'Neo4J' Driver

neonUtilities — 1.3.3

Utilities for Working with NEON Data

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