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 ·

importar — 0.1.1

Enables Importing/Loading of Packages or Functions While Creating an Alias for Them

ImportExport — 1.3

Import and Export Data

importinegi — 1.2.1

Download and Manage Open Data from INEGI

imprecise101 — 0.2.2.4

Introduction to Imprecise Probabilities

impressionist.colors — 1.0

Impressionism's Color Palettes

imprinting — 0.1.1

Calculate Birth Year-Specific Probabilities of Immune Imprinting to Influenza

ImpShrinkage — 1.0.0

Improved Shrinkage Estimations for Multiple Linear Regression

imptree — 0.5.1

Classification Trees with Imprecise Probabilities

imputeFin — 0.1.2

Imputation of Financial Time Series with Missing Values and/or Outliers

imputeGeneric — 0.1.0

Ease the Implementation of Imputation Methods

imputeLCMD — 2.1

A Collection of Methods for Left-Censored Missing Data Imputation

ImputeLongiCovs — 0.1.0

Longitudinal Imputation of Categorical Variables via a Joint Transition Model

imputeMissings — 0.0.4

Impute Missing Values in a Predictive Context

imputeMulti — 0.8.4

Imputation Methods for Multivariate Multinomial Data

imputeR — 2.2

A General Multivariate Imputation Framework

imputeREE — 0.0.5

Impute Missing Rare Earth Element Data in Zircon

ImputeRobust — 1.3-1

Robust Multiple Imputation with Generalized Additive Models for Location Scale and Shape

imputeTestbench — 3.0.3

Test Bench for the Comparison of Imputation Methods

imputeTS — 3.3

Time Series Missing Value Imputation

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

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 — 2.4.0

Compute, Handle and Plot Incidence of Dated Events

IncidencePrevalence — 0.7.4

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 — 0.1.2

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"

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 — 0.3.1

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

infoelectoral — 1.0.2

Download Spanish Election Results

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 — 4.0.6

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 — 2.1.0

Inference Using Simulation

ingredients — 2.3.0

Effects and Importances of Model Ingredients

ini — 0.3.1

Read and Write '.ini' Files

Next page