All packages

· A · B · C · D · E · F · G · H · I · J · K · L · M · N · O · P · Q · R · S · T · U · V · W · X · Y · Z ·

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

NPFD — 1.0.0

N-Power Fourier Deconvolution

NPflow — 0.13.5

Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data

nph — 2.1

Planning and Analysing Survival Studies under Non-Proportional Hazards

NPHazardRate — 0.1

Nonparametric Hazard Rate Estimation

NPHMC — 2.3

Sample Size Calculation for the Proportional Hazards Mixture Cure Model

nphPower — 1.1.0

Sample Size Calculation under Non-Proportional Hazards

nphRCT — 0.1.1

Non-Proportional Hazards in Randomized Controlled Trials

npi — 0.2.0

Access the U.S. National Provider Identifier Registry API

npIntFactRep — 1.5

Nonparametric Interaction Tests for Factorial Designs with Repeated Measures

NPIstats — 0.1.0

Nonparametric Predictive Inference

nplplot — 4.7

Plotting Linkage and Association Results

nplr — 0.1-7

N-Parameter Logistic Regression

nplyr — 0.2.0

A Grammar of Nested Data Manipulation

npmlda — 1.0.0

Nonparametric Models for Longitudinal Data

NPMLEcmprsk — 3.0

Type-Specific Failure Rate and Hazard Rate on Competing Risks Data

npmlreg — 0.46-5

Nonparametric Maximum Likelihood Estimation for Random Effect Models

npmr — 1.3.1

Nuclear Penalized Multinomial Regression

npmv — 2.4.0

Nonparametric Comparison of Multivariate Samples

npordtests — 1.2

Nonparametric Tests for Equality of Location Against Ordered Alternatives

NPP — 0.6.0

Normalized Power Prior Bayesian Analysis

nppbib — 1.2-0

Nonparametric Partially-Balanced Incomplete Block Design Analysis

npphen — 2.0.0

Vegetation Phenological Cycle and Anomaly Detection using Remote Sensing Data

NPRED — 1.1.0

Predictor Identifier: Nonparametric Prediction

npreg — 1.1.0

Nonparametric Regression via Smoothing Splines

npregderiv — 1.0

Nonparametric Estimation of the Derivatives of a Regression Function

npregfast — 1.5.2

Nonparametric Estimation of Regression Models with Factor-by-Curve Interactions

nprobust — 0.4.0

Nonparametric Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density Estimation

nproc — 2.1.5

Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves

npROCRegression — 1.0-7

Kernel-Based Nonparametric ROC Regression Modelling

nprotreg — 1.1.1

Nonparametric Rotations for Sphere-Sphere Regression

npsf — 0.8.0

Nonparametric and Stochastic Efficiency and Productivity Analysis

npsm — 2.0.0

Nonparametric Statistical Methods

npsp — 0.7-13

Nonparametric Spatial Statistics

npsurv — 0.5-0

Nonparametric Survival Analysis

npsurvSS — 1.1.0

Sample Size and Power Calculation for Common Non-Parametric Tests in Survival Analysis

nptest — 1.1

Nonparametric Bootstrap and Permutation Tests

npwbs — 0.2.0

Nonparametric Multiple Change Point Detection Using WBS

nrba — 0.3.1

Methods for Conducting Nonresponse Bias Analysis (NRBA)

nRegression — 0.5.1

Simulation-Based Calculations of Sample Size for Linear and Logistic Regression

NRejections — 1.2.0

Metrics for Multiple Testing with Correlated Outcomes

nricens — 1.6

NRI for Risk Prediction Models with Time to Event and Binary Response Data

NSAE — 0.4.0

Nonstationary Small Area Estimation

nsarfima — 0.2.0.0

Methods for Fitting and Simulating Non-Stationary ARFIMA Models

nscancor — 0.7.0-6

Non-Negative and Sparse CCA

NScluster — 1.3.6-1

Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models

nse — 1.21

Numerical Standard Errors Computation in R

nseq — 0.1.1

Count of Sequential Events

nser — 1.5.3

Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India

nsga2R — 1.1

Elitist Non-Dominated Sorting Genetic Algorithm

nsga3 — 0.0.3

An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection

NSM3 — 1.19

Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition

nsm3data — 0.1

Datasets to Accompany Hollander, Wolfe, and Chicken NSM3

NSO1212 — 1.4.0

National Statistical Office of Mongolia's Open Data API Handler

nsp — 1.0.0

Inference for Multiple Change-Points in Linear Models

nspmix — 1.5-0

Nonparametric and Semiparametric Mixture Estimation

nsprcomp — 0.5.1-2

Non-Negative and Sparse PCA

NSR — 0.1.0

'Native Status Resolver'

nsRFA — 0.7-17

Non-Supervised Regional Frequency Analysis

nsROC — 1.1

Non-Standard ROC Curve Analysis

NST — 3.1.10

Normalized Stochasticity Ratio

nswgeo — 0.4.0

Geospatial Data and Maps for New South Wales, Australia

nsyllable — 1.0.1

Count Syllables in Character Vectors

ntdr — 0.4.0

Retrieve Data from the National Transit Database

ntfy — 0.0.6

Lightweight Wrapper to the 'ntfy.sh' Service

NTLKwIEx — 0.1.0

Computation of NTLKwIEx Distribution Properties

ntranova — 0.0.1

Two Way Neutrosophic ANOVA

NTS — 1.1.3

Nonlinear Time Series Analysis

ntsDatasets — 0.2.0

Neutrosophic Data Sets

ntsDists — 2.1.1

Neutrosophic Distributions

Next page