All packages

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nodbi — 0.11.0

'NoSQL' Database Connector

node2vec — 0.1.0

Algorithmic Framework for Representational Learning on Graphs

nodeSub — 1.2.8

Simulate DNA Alignments Using Node Substitutions

nodiv — 1.4.2

Compares the Distribution of Sister Clades Through a Phylogeny

noegletalR — 0.2.1

Tidy Tibbles of Noegletal

nofrills — 0.3.2

Low-Cost Anonymous Functions

noia — 0.97.3

Implementation of the Natural and Orthogonal InterAction (NOIA) Model

noise — 1.0.2

Estimation of Intrinsic and Extrinsic Noise from Single-Cell Data

noisemodel — 1.0.2

Noise Models for Classification Datasets

noisyCE2 — 1.1.0

Cross-Entropy Optimisation of Noisy Functions

noisyr — 1.0.0

Noise Quantification in High Throughput Sequencing Output

noisySBM — 0.1.4

Noisy Stochastic Block Mode: Graph Inference by Multiple Testing

noisysbmGGM — 0.1.2.3

Noisy Stochastic Block Model for GGM Inference

nolock — 1.1.0

Append 'WITH (NOLOCK)' to 'SQL' Queries, Get Packages in Active Script

nombre — 0.4.1

Number Names

nomclust — 2.8.0

Hierarchical Cluster Analysis of Nominal Data

nominatimlite — 0.4.1

Interface with 'Nominatim' API Service

nomisr — 0.4.7

Access 'Nomis' UK Labour Market Data

nomnoml — 0.3.0

Sassy 'UML' Diagrams

nomogramEx — 3.0

Extract Equations from a Nomogram

nomogramFormula — 1.2.0.0

Calculate Total Points and Probabilities for Nomogram

NonCompart — 0.7.0

Noncompartmental Analysis for Pharmacokinetic Data

noncompliance — 0.2.2

Causal Inference in the Presence of Treatment Noncompliance Under the Binary Instrumental Variable Model

noncomplyR — 1.0

Bayesian Analysis of Randomized Experiments with Non-Compliance

nonet — 0.4.0

Weighted Average Ensemble without Training Labels

nonLinearDotPlot — 0.5.0

Non Linear Dot Plots

nonlinearICP — 0.1.2.1

Invariant Causal Prediction for Nonlinear Models

NonlinearTSA — 0.5.0

Nonlinear Time Series Analysis

nonlinearTseries — 0.3.1

Nonlinear Time Series Analysis

nonmem2R — 0.2.5

Loading NONMEM Output Files with Functions for Visual Predictive Checks (VPC) and Goodness of Fit (GOF) Plots

nonmem2rx — 0.1.6

Converts 'NONMEM' Models to 'rxode2'

nonmemica — 1.0.11

Create and Evaluate NONMEM Models in a Project Context

nonneg.cg — 0.1.6-1

Non-Negative Conjugate-Gradient Minimizer

nonnest2 — 0.5-8

Tests of Non-Nested Models

NonNorMvtDist — 1.0.2

Multivariate Lomax (Pareto Type II) and Its Related Distributions

nonpar — 1.0.2

A Collection of Nonparametric Hypothesis Tests

nonparaeff — 0.5-13

Nonparametric Methods for Measuring Efficiency and Productivity

nonparametric.bayes — 0.0.1

Project Code - Nonparametric Bayes

Nonpareil — 3.5.3

Metagenome Coverage Estimation and Projections for 'Nonpareil'

NonParRolCor — 0.8.0

a Non-Parametric Statistical Significance Test for Rolling Window Correlation

NonProbEst — 0.2.4

Estimation in Nonprobability Sampling

nonprobsvy — 0.1.1

Inference Based on Non-Probability Samples

nonsmooth — 1.0.0

Nonparametric Methods for Smoothing Nonsmooth Data

nopaco — 1.0.9

Non-Parametric Concordance Coefficient

nopp — 1.1.2

Nash Optimal Party Positions

nor1mix — 1.3-3

Normal aka Gaussian 1-d Mixture Models

nord — 1.0.0

Arctic Ice Studio's Nord and Group of Seven Inspired Colour Palettes for 'ggplot2'

nordklimdata1 — 1.2

Dataset for Climate Analysis with Data from the Nordic Region

norm — 1.0-11.1

Analysis of Multivariate Normal Datasets with Missing Values

NORMA — 0.1

Builds General Noise SVRs

normaliseR — 0.1.2

Re-Scale Vectors and Time-Series Features

NormalityAssessment — 0.1.0

A Graphical User Interface for Testing Normality Visually

normalize — 0.1.0

Centering and Scaling of Numeric Data

normalizeH — 1.0.0

Normalize Hadamard Matrix

NormalLaplace — 0.3-1

The Normal Laplace Distribution

normalp — 0.7.2.1

Routines for Exponential Power Distribution

normalr — 1.0.0

Normalisation of Multiple Variables in Large-Scale Datasets

NormData — 1.1

Derivation of Regression-Based Normative Data

NormExpression — 0.1.1

Normalize Gene Expression Data using Evaluated Methods

normfluodbf — 2.0.0

Cleans and Normalizes FLUOstar DBF and DAT Files from 'Liposome' Flux Assays

norMmix — 0.2-0

Direct MLE for Multivariate Normal Mixture Distributions

NormPsy — 1.0.8

Normalisation of Psychometric Tests

nortest — 1.0-4

Tests for Normality

nortestARMA — 1.0.2

Neyman Smooth Tests of Normality for the Errors of ARMA Models

nortsTest — 1.1.2

Assessing Normality of Stationary Process

nos — 2.0.0

Compute Node Overlap and Segregation in Ecological Networks

nosoi — 1.1.2

A Forward Agent-Based Transmission Chain Simulator

NostalgiR — 1.0.2

Advanced Text-Based Plots

not — 1.6

Narrowest-Over-Threshold Change-Point Detection

notebookutils — 1.5.3

Dummy R APIs Used in 'Azure Synapse Analytics' for Local Developments

notifyme — 0.3.0

Send Alerts to your Cellphone and Phillips Hue Lights

NovelDistns — 0.1.0

Computes PDF, CDF, Quantile, Random Numbers and Measures of Inference for 3 General Families of Distributions

novelforestSG — 2.1.0

Dataset from the Novel Forests of Singapore

novelqualcodes — 0.13.1

Visualise the Path to a Stopping Point in Qualitative Interviews Based on Novel Codes

NoviceDeveloperResources — 1.2.0

Resources to Assist Novice Developers

NoviceDeveloperResources2 — 1.1.0

Further Resources to Assist Novice Developers

noweb — 1.1-4

The 'noweb' System for R

Nozzle.R1 — 1.1-1.1

Nozzle Reports

np — 0.60-17

Nonparametric Kernel Smoothing Methods for Mixed Data Types

nparACT — 0.8

Non-Parametric Measures of Actigraphy Data

nparcomp — 3.0

Multiple Comparisons and Simultaneous Confidence Intervals

nparLD — 2.2

Nonparametric Analysis of Longitudinal Data in Factorial Experiments

nparMD — 0.2.1

Nonparametric Analysis of Multivariate Data in Factorial Designs

nparsurv — 0.1.0

Nonparametric Tests for Main Effects, Simple Effects and Interaction Effect in a Factorial Design with Censored Data

NPBayesImputeCat — 0.5

Non-Parametric Bayesian Multiple Imputation for Categorical Data

npboottprm — 0.3.2

Nonparametric Bootstrap Test with Pooled Resampling

npboottprmFBar — 0.2.0

Informative Nonparametric Bootstrap Test with Pooled Resampling

npbr — 1.8

Nonparametric Boundary Regression

NPCD — 1.0-11

Nonparametric Methods for Cognitive Diagnosis

NPCDTools — 1.0

The Nonparametric Classification Methods for Cognitive Diagnosis

NPCirc — 3.1.1

Nonparametric Circular Methods

npclust — 0.1.0

Nonparametric Tests for Incomplete Clustered Data

NPCox — 1.3

Nonparametric and Semiparametric Proportional Hazards Model

npcp — 0.2-6

Some Nonparametric CUSUM Tests for Change-Point Detection in Possibly Multivariate Observations

npcs — 0.1.1

Neyman-Pearson Classification via Cost-Sensitive Learning

npcure — 0.1-5

Nonparametric Estimation in Mixture Cure Models

npcurePK — 1.0-2

Mixture Cure Model Estimation with Cure Status Partially Known

npde — 3.5

Normalised Prediction Distribution Errors for Nonlinear Mixed-Effect Models

npDoseResponse — 0.1

Nonparametric Estimation and Inference on Dose-Response Curves

npExact — 0.2

Exact Nonparametric Hypothesis Tests for the Mean, Variance and Stochastic Inequality

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