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 ·

ip2proxy — 1.2.0

Lookup for IP Address Proxy Information

ipa — 0.1.0

Convert Between Phonetic Alphabets

ipaddress — 1.0.2

Data Analysis for IP Addresses and Networks

ipADMIXTURE — 0.1.0

Iterative Pruning Population Admixture Inference Framework

ipanema — 1.1.0

Read Data from 'LimeSurvey'

ipbase — 0.1.1

Client for the 'ipbase.com' IP Geolocation API

ipc — 0.1.4

Tools for Message Passing Between Processes

IPCAPS — 1.1.8

Iterative Pruning to Capture Population Structure

IPCWK — 1.0

Kendall's Tau Partial Corr. for Survival Trait and Biomarkers

ipcwswitch — 1.0.4

Inverse Probability of Censoring Weights to Deal with Treatment Switch in Randomized Clinical Trials

IPDfromKM — 0.1.10

Map Digitized Survival Curves Back to Individual Patient Data

ipdw — 2.0-0

Spatial Interpolation by Inverse Path Distance Weighting

ipeadatar — 0.1.6

API Wrapper for 'Ipeadata'

ipeaplot — 0.4.0

Add Ipea Editorial Standards to 'ggplot2' Graphics

IPEC — 1.1.0

Root Mean Square Curvature Calculation

IPEDS — 0.1.0

Data from the Integrated Post-Secondary Education Data System

IPEDSuploadables — 2.9.0

Transforms Institutional Data into Text Files for IPEDS Automated Import/Upload

iperform — 0.0.3

Time Series Performance

ipflasso — 1.1

Integrative Lasso with Penalty Factors

ipfp — 1.0.2

Fast Implementation of the Iterative Proportional Fitting Procedure in C

ipfr — 1.0.2

List Balancing for Reweighting and Population Synthesis

ipft — 0.7.2

Indoor Positioning Fingerprinting Toolset

ipkg — 1.1.1

Install R Packages or Download File from GitHub via the Proxy Site

IPLGP — 2.0.5

Identification of Parental Lines via Genomic Prediction

iplookupapi — 0.1.0

Client for the 'iplookupapi.com' IP Lookup API

iplots — 1.1-8

iPlots - Interactive Graphics for R

IPMbook — 0.1.5

Functions and Data for the Book 'Integrated Population Models'

ipmr — 0.0.7

Integral Projection Models

ipolygrowth — 1.0.0

Individual Growth Curve Parameter Calculation using Polynomial Functions

IPPP — 1.1

Inhomogeneous Poisson Point Processes

ipr — 0.1.0

Iterative Proportional Repartition Algorithm

ipred — 0.9-15

Improved Predictors

iprior — 0.7.4

Regression Modelling using I-Priors

iPRISM — 0.1.1

Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling

ips — 0.0.12

Interfaces to Phylogenetic Software in R

ipsecr — 1.4.1

Spatially Explicit Capture-Recapture by Inverse Prediction

ipsfs — 1.0.0

Intuitionistic, Pythagorean, and Spherical Fuzzy Similarity Measure

ipsRdbs — 1.0.0

Introduction to Probability, Statistics and R for Data-Based Sciences

ipumsr — 0.8.1

An R Interface for Downloading, Reading, and Handling IPUMS Data

IPV — 1.0.0

Item Pool Visualization

ipw — 1.2.1

Estimate Inverse Probability Weights

IPWboxplot — 0.1.2

Adapted Boxplot to Missing Observations

ipwCoxCSV — 1.0

Inverse Probability Weighted Cox Model with Corrected Sandwich Variance

ipwErrorY — 2.1

Inverse Probability Weighted Estimation of Average Treatment Effect with Misclassified Binary Outcome

iq — 1.9.12

Protein Quantification in Mass Spectrometry-Based Proteomics

IQCC — 0.7

Improved Quality Control Charts

ir — 0.2.1

Functions to Handle and Preprocess Infrared Spectra

irace — 3.5

Iterated Racing for Automatic Algorithm Configuration

iraceplot — 1.3

Plots for Visualizing the Data Produced by the 'irace' Package

iRafNet — 1.1-1

Integrative Random Forest for Gene Regulatory Network Inference

irboost — 0.1-1.5

Iteratively Reweighted Boosting for Robust Analysis

IRCcheck — 1.0.0

Irrepresentable Condition Check

ircor — 1.0

Correlation Coefficients for Information Retrieval

IRdisplay — 1.1

'Jupyter' Display Machinery

iRegression — 1.2.1

Regression Methods for Interval-Valued Variables

iRepro — 1.2

Reproducibility for Interval-Censored Data

Irescale — 2.3.0

Calculate and Rectify Moran's I

IRexamples — 0.0.4

Collection of Practical Institutional Research Examples and Tutorials

irg — 0.1.6

Instantaneous Rate of Green Up

IrishDirectorates — 1.4

A Dynamic Bipartite Latent Space Model to Analyse Irish Companies' Boards from 2003 to 2013

IRISMustangMetrics — 2.4.6

Statistics and Metrics for Seismic Data

IRISSeismic — 1.6.6

Classes and Methods for Seismic Data Analysis

IRkernel — 1.3.2

Native R Kernel for the 'Jupyter Notebook'

irlba — 2.3.5.1

Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices

iRoCoDe — 1.0.1

Incomplete Row-Column Designs

IRon — 0.1.4

Solving Imbalanced Regression Tasks

irr — 0.84.1

Various Coefficients of Interrater Reliability and Agreement

IRR2FPR — 0.1.1

Computing False Positive Rate from Inter-Rater Reliability

irrCAC — 1.0

Computing Chance-Corrected Agreement Coefficients (CAC)

IrregLong — 0.4.0

Analysis of Longitudinal Data with Irregular Observation Times

irrICC — 1.0

Intraclass Correlations for Quantifying Inter-Rater Reliability

irrNA — 0.2.3

Coefficients of Interrater Reliability – Generalized for Randomly Incomplete Datasets

irt — 0.2.9

Item Response Theory and Computerized Adaptive Testing Functions

irtawsi — 0.4.1

Items Response Theory Analysis with Steps and Interpretation

IRTBEMM — 1.0.8

Family of Bayesian EMM Algorithm for Item Response Models

irtDemo — 0.1.4

Item Response Theory Demo Collection

IRTest — 2.0.0

Parameter Estimation of Item Response Theory with Estimation of Latent Distribution

irtGUI — 0.2

Item Response Theory Analysis with a Graphic User Interface

irtoys — 0.2.2

A Collection of Functions Related to Item Response Theory (IRT)

irtpwr — 1.0.3

Power Analysis for IRT Models Using the Wald, LR, Score, and Gradient Statistics

irtQ — 0.2.1

Unidimensional Item Response Theory Modeling

irtrees — 1.0.0

Estimation of Tree-Based Item Response Models

irtreliability — 0.1-1

Item Response Theory Reliability

IRTShiny — 1.2

Item Response Theory via Shiny

isa2 — 0.3.6

The Iterative Signature Algorithm

ISAR — 0.1.12

Introduction to Sports Analytics using R (ISAR) Data

ISAT — 1.0.5

Extract Cell Density and Nearest Distance Based on 'PerkinElmer InForm' Software Output

isatabr — 1.0.1

Implementation for the ISA Abstract Model

ISCO08ConveRsions — 0.2.0

Converts ISCO-08 to Job Prestige Scores, ISCO-88 and Job Name

iscoCrosswalks — 1.0.0

Crosswalks Between Classifications of Occupations

Iscores — 1.1.0

Proper Scoring Rules for Missing Value Imputation

isdals — 3.0.1

Datasets for Introduction to Statistical Data Analysis for the Life Sciences

isdparser — 0.4.0

Parse 'NOAA' Integrated Surface Data Files

ISEtools — 3.2.0

Ion Selective Electrodes Analysis Methods

iSFun — 1.1.0

Integrative Dimension Reduction Analysis for Multi-Source Data

IsingFit — 0.4

Fitting Ising Models Using the ELasso Method

Isinglandr — 0.1.1

Landscape Construction and Simulation for Ising Networks

isingLenzMC — 0.2.5

Monte Carlo for Classical Ising Model

IsingSampler — 0.2.3

Sampling Methods and Distribution Functions for the Ising Model

island — 0.2.10

Stochastic Island Biogeography Theory Made Easy

Next page