Noise Models for Classification Datasets

Cross-Entropy Optimisation of Noisy Functions

Noise Quantification in High Throughput Sequencing Output

Noisy Stochastic Block Mode: Graph Inference by Multiple Testing

Noisy Stochastic Block Model for GGM Inference

Append 'WITH (NOLOCK)' to 'SQL' Queries, Get Packages in Active
Script
R package nolock version 1.1.0

Hierarchical Cluster Analysis of Nominal Data

Calculate Total Points and Probabilities for Nomogram
R package nomogramFormula version 1.2.0.0

Noncompartmental Analysis for Pharmacokinetic Data

Causal Inference in the Presence of Treatment Noncompliance
Under the Binary Instrumental Variable Model
R package noncompliance version 0.2.2

Bayesian Analysis of Randomized Experiments with Non-Compliance

Weighted Average Ensemble without Training Labels

R package nonLinearDotPlot version 0.5.0

Invariant Causal Prediction for Nonlinear Models

R package nonlinearTseries version 0.3.0

Loading NONMEM Output Files with Functions for Visual Predictive
Checks (VPC) and Goodness of Fit (GOF) Plots
R package nonmem2R version 0.2.5

'nonmem2rx' Converts 'NONMEM' Models to 'rxode2'

Create and Evaluate NONMEM Models in a Project Context

Multivariate Lomax (Pareto Type II) and Its Related
Distributions

A Collection of Nonparametric Hypothesis Tests

Nonparametric Methods for Measuring Efficiency and Productivity

R package nonparametric.bayes version 0.0.1

Metagenome Coverage Estimation and Projections for 'Nonpareil'

a Non-Parametric Statistical Significance Test for Rolling
Window Correlation

Inference Based on Non-Probability Samples

Arctic Ice Studio's Nord and Group of Seven Inspired Colour
Palettes for 'ggplot2'
R package nord version 1.0.0

Dataset for Climate Analysis with Data from the Nordic Region

Analysis of Multivariate Normal Datasets with Missing Values

Re-Scale Vectors and Time-Series Features

A Graphical User Interface for Testing Normality Visually
R package NormalityAssessment version 0.1.0

Routines for Exponential Power Distribution

Normalisation of Multiple Variables in Large-Scale Datasets