All packages

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iMRMC — 2.1.0

Multi-Reader, Multi-Case Analysis Methods (ROC, Agreement, and Other Metrics)

imsig — 1.1.3

Immune Cell Gene Signatures for Profiling the Microenvironment of Solid Tumours

imt — 1.0.0

Impact Measurement Toolkit

IMTest — 1.0.0

Information Matrix Test for Generalized Partial Credit Models

imuf — 0.5.0

Estimate Orientation of an Inertial Measurement Unit

ImVol — 0.1.0

Volume Prediction of Trees Using Linear and Nonlinear Allometric Equations

in2extRemes — 1.0-3

Into the extRemes Package

inaparc — 1.2.0

Initialization Algorithms for Partitioning Cluster Analysis

inbreedR — 0.3.3

Analysing Inbreeding Based on Genetic Markers

inca — 0.0.4

Integer Calibration

incase — 0.3.2

Pipe-Friendly Vector Replacement with Case Statements

INCATome — 1.0

Internal Control Analysis of Translatome Studies by Microarrays

IncDTW — 1.1.4.4

Incremental Calculation of Dynamic Time Warping

incgraph — 1.0.1

Incremental Graphlet Counting for Network Optimisation

incidence — 1.7.5

Compute, Handle, Plot and Model Incidence of Dated Events

incidence2 — 2.6.0

Compute, Handle and Plot Incidence of Dated Events

IncidencePrevalence — 0.9.0

Estimate Incidence and Prevalence using the OMOP Common Data Model

incidental — 0.1

Implements Empirical Bayes Incidence Curves

incidentally — 1.0.2

Generates Incidence Matrices and Bipartite Graphs

IncomPair — 0.1.0

Comparison of Means for the Incomplete Paired Data

incR — 2.1.0

Analysis of Incubation Data

inctools — 1.0.15

Incidence Estimation Tools

incubate — 1.3.0

Parametric Time-to-Event Analysis with Variable Incubation Phases

indelmiss — 1.0.10

Insertion Deletion Analysis While Accounting for Possible Missing Data

independenceWeights — 0.0.1

Estimates Weights for Confounding Control for Continuous-Valued Exposures

IndepTest — 0.2.0

Nonparametric Independence Tests Based on Entropy Estimation

index0 — 0.0.1

Zero-Based Indexing in R

IndexConstruction — 0.1-3

Index Construction for Time Series Data

IndexNumber — 1.3.2

Index Numbers in Social Sciences

IndexNumR — 0.6.0

Index Number Calculation

indexthis — 1.0.1

Quick Indexation

IndexWizard — 0.2.1.0

Constructing and Analyzing Complex Selection Indices

IndGenErrors — 0.1.4

Tests of Independence Between Innovations of Generalized Error Models

india — 0.1

Influence Diagnostics in Statistical Models

Indicator — 0.1.3

Composite 'Indicator' Construction and Imputation Data

indicspecies — 1.7.15

Relationship Between Species and Groups of Sites

indiedown — 0.1.1

Individual R Markdown Templates

indirect — 0.2.1

Elicitation of Independent Conditional Means Priors for Generalised Linear Models

InDisc — 1.1.0

Obtaining and Estimating Unidimensional and Multidimensional IRT Dual Models

IndTestPP — 3.0

Tests of Independence and Analysis of Dependence Between Point Processes in Time

industRial — 0.1.0

Data, Functions and Support Materials from the Book "industRial Data Science"

ineAtlas — 0.1.3

Access to Spanish Household Income Distribution Atlas Data

inegiR — 3.0.0

Integrate INEGI’s (Mexican Stats Office) API with R

ineq — 0.2-13

Measuring Inequality, Concentration, and Poverty

ineq.2d — 0.1.0

Two-Dimensional Decomposition of the Theil Index and the Squared Coefficient of Variation

ineqJD — 1.0

Inequality Joint Decomposition

inet — 0.1.0

Performing Inference on Networks with Regularization

iNEXT — 3.0.1

Interpolation and Extrapolation for Species Diversity

iNEXT.3D — 1.0.6

Interpolation and Extrapolation for Three Dimensions of Biodiversity

iNEXT.4steps — 1.0.1

Four-Step Biodiversity Analysis Based on 'iNEXT'

iNEXT.beta3D — 1.0.2

Interpolation and Extrapolation with Beta Diversity for Three Dimensions of Biodiversity

infer — 1.0.7

Tidy Statistical Inference

inferCSN — 1.0.8

Inferring Cell-Specific Gene Regulatory Network

InferenceSMR — 1.0.2

Inference About the Standardized Mortality Ratio when Evaluating the Effect of a Screening Program on Survival

inferference — 1.0.2

Methods for Causal Inference with Interference

inferr — 0.3.2

Inferential Statistics

infiltrodiscR — 0.0.5

Minidisc Infiltrometer Data Management

infinitefactor — 1.0

Bayesian Infinite Factor Models

InfiniumPurify — 1.3.1

Estimate and Account for Tumor Purity in Cancer Methylation Data Analysis

infix — 0.1.0

Basic Infix Binary Operators

Inflation — 0.1.0

Core Inflation

inflection — 1.3.6

Finds the Inflection Point of a Curve

InflectSSP — 1.6

Melt Curve Fitting and Melt Shift Analysis

influence.ME — 0.9-9

Tools for Detecting Influential Data in Mixed Effects Models

influence.SEM — 2.3

Case Influence in Structural Equation Models

influenceAUC — 0.1.2

Identify Influential Observations in Binary Classification

influenceR — 0.1.5

Software Tools to Quantify Structural Importance of Nodes in a Network

influential — 2.2.9

Identification and Classification of the Most Influential Nodes

influxdbclient — 0.1.2

'InfluxDB' 2.x Client

influxdbr — 0.14.2

R Interface to InfluxDB

infoDecompuTE — 0.6.2

Information Decomposition of Two-Phase Experiments

Information — 0.0.9

Data Exploration with Information Theory (Weight-of-Evidence and Information Value)

InformativeCensoring — 0.3.6

Multiple Imputation for Informative Censoring

informativeSCI — 1.0.3

Informative Simultaneous Confidence Intervals

informedSen — 1.0.7

Sensitivity Analysis Informed by a Test for Bias

INFOSET — 4.1

Computing a New Informative Distribution Set of Asset Returns

infotheo — 1.2.0.1

Information-Theoretic Measures

InfoTrad — 1.2

Calculates the Probability of Informed Trading (PIN)

infraFDTD.assist — 0.6

IO Help for infraFDTD Model

Infusion — 2.2.0

Inference Using Simulation

ingredients — 2.3.0

Effects and Importances of Model Ingredients

ini — 0.3.1

Read and Write '.ini' Files

injectoR — 0.2.4

R Dependency Injection

InjurySeverityScore — 0.0.0.2

Translate ICD-9 into Injury Severity Score

injurytools — 1.0.3

A Toolkit for Sports Injury Data Analysis

INLABMA — 0.1-12

Bayesian Model Averaging with INLA

inlabru — 2.12.0

Bayesian Latent Gaussian Modelling using INLA and Extensions

INLAjoint — 24.3.25

Multivariate Joint Modeling for Longitudinal and Time-to-Event Outcomes with 'INLA'

inlamemi — 1.1.0

Missing Data and Measurement Error Modelling in INLA

INLAspacetime — 0.1.10

Spatial and Spatio-Temporal Models using 'INLA'

inlcolor — 1.0.6

Color Schemes for the USGS Idaho National Laboratory Project Office

inldata — 1.2.7

Collection of Datasets for the USGS-INL Monitoring Networks

inline — 0.3.21

Functions to Inline C, C++, Fortran Function Calls from R

inlinedocs — 2023.9.4

Convert Inline Comments to Documentation

inlpubs — 1.2.0

USGS INL Project Office Publications

innsight — 0.3.1

Get the Insights of Your Neural Network

inops — 0.0.1

Infix Operators for Detection, Subsetting and Replacement

inpdfr — 0.1.12

Analyse Text Documents Using Ecological Tools

inplace — 0.1.2

In-place Operators for R

InPosition — 0.12.7.1

Inference Tests for ExPosition

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