All packages

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InPosition — 0.12.7.1

Inference Tests for ExPosition

INQC — 2.0.5

Quality Control of Climatological Daily Time Series

Inquilab — 0.1.0

Dissipation Kinetics Analysis, Half Life Period, Rate Constant, Plots

insane — 1.0.3

INsulin Secretion ANalysEr

insect — 1.4.2

Informatic Sequence Classification Trees

insee — 1.1.7

Tools to Easily Download Data from INSEE BDM Database

insight — 1.0.1

Easy Access to Model Information for Various Model Objects

InSilicoVA — 1.4.0

Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm

InspectChangepoint — 1.2

High-Dimensional Changepoint Estimation via Sparse Projection

inspectdf — 0.0.12.1

Inspection, Comparison and Visualisation of Data Frames

InspectionPlanner — 1.2

Phytosanitary Inspection Sampling Planner

inspector — 1.0.3

Validation of Arguments and Objects in User-Defined Functions

INSPECTumours — 0.1.0

IN-vivo reSPonsE Classification of Tumours

INSPIRE — 1.5

Inferring Shared Modules from Multiple Gene Expression Datasets with Partially Overlapping Gene Sets

instagramadsR — 0.1.0

Access to Instagram Ads via the 'Windsor.ai' API

install.load — 1.2.5

Check, Install and Load CRAN Packages

installr — 0.23.4

Using R to Install Stuff on Windows OS (Such As: R, 'Rtools', 'RStudio', 'Git', and More!)

instantiate — 0.2.3

Pre-Compiled 'CmdStan' Models in R Packages

instaR — 0.2.4

Access to Instagram API via R

insuranceData — 1.0

A Collection of Insurance Datasets Useful in Risk Classification in Non-life Insurance.

insurancerating — 0.7.5

Analytic Insurance Rating Techniques

InsuSensCalc — 0.0.1

Insulin Sensitivity Indices Calculator

intamap — 1.5-7

Procedures for Automated Interpolation

intamapInteractive — 1.2-6

Interactive Add-on Functionality for 'intamap'

IntCal — 0.3.1

Radiocarbon Calibration Curves

intccr — 3.0.4

Semiparametric Competing Risks Regression under Interval Censoring

intcensROC — 0.1.3

AUC Estimation of Interval Censored Survival Data

integIRTy — 1.0.7

Integrating Multiple Modalities of High Throughput Assays Using Item Response Theory

integr — 1.0.0

An Implementation of Interaction Graphs of Aleks Jakulin

IntegrateBs — 0.1.0

Integration for B-Spline

IntegratedJM — 1.6

Joint Modeling of the Gene-Expression and Bioassay Data, Taking Care of the Effect Due to a Fingerprint Feature

IntegratedMRF — 1.1.9

Integrated Prediction using Uni-Variate and Multivariate Random Forests

intendo — 0.1.1

A Group of Fun Datasets of Various Sizes and Differing Levels of Quality

intensegRid — 0.1.2

R Wrapper for the Carbon Intensity API

intensitynet — 1.4.0

Intensity Analysis of Spatial Point Patterns on Complex Networks

InteractionPoweR — 0.2.2

Power Analyses for Interaction Effects in Cross-Sectional Regressions

interactionR — 0.1.7

Full Reporting of Interaction Analyses

interactionRCS — 0.1.1

Calculate Estimates in Models with Interaction

interactions — 1.2.0

Comprehensive, User-Friendly Toolkit for Probing Interactions

interactionTest — 1.2

Calculates Critical Test Statistics to Control False Discovery Rates in Marginal Effects Plots

Interatrix — 1.1.4

Compute Chi-Square Measures with Corrections

interca — 0.1.2

Multiple Correspondence Analysis Based on Interpretive Coordinates

InteRD — 0.1.1

The Integrated and Robust Deconvolution

interep — 0.4.1

Interaction Analysis of Repeated Measure Data

interface — 0.1.2

Runtime Type System

InterfaceqPCR — 1.0.1

GUI to Analyse qPCR Results after PMA Treatment or not

interfacer — 0.3.2

Define and Enforce Contracts for Dataframes as Function Parameters

interflex — 1.2.6

Multiplicative Interaction Models Diagnostics and Visualization

interfr — 0.1.0

Interference Color Charts for Polarized Light Microscopy

intergraph — 2.0-4

Coercion Routines for Network Data Objects

interim — 0.8.0

Scheduling Interim Analyses in Clinical Trials

interimApp — 0.0.1

App for Scheduling Interim Analyses in Clinical Trials

interleave — 0.1.2

Converts Tabular Data to Interleaved Vectors

interlineaR — 1.0

Importing Interlinearized Corpora and Dictionaries as Produced by Descriptive Linguistics Software

InterNL — 0.1.0

Time Series Intervention Model Using Non-Linear Function

interp — 1.1-6

Interpolation Methods

interplex — 0.1.2

Coercion Methods for Simplicial Complex Data Structures

interplot — 0.2.3

Plot the Effects of Variables in Interaction Terms

interpolation — 0.1.1

Interpolation of Bivariate Functions

interpolators — 1.0.1

Some Interpolation Methods

interpret — 0.1.34

Fit Interpretable Machine Learning Models

interpretCI — 0.1.1

Estimate the Confidence Interval and Interpret Step by Step

InterpretMSSpectrum — 1.4.5

Interpreting High Resolution Mass Spectra

interpretR — 0.2.5

Binary Classifier and Regression Model Interpretation Functions

inters — 0.2.0

Flexible Tools for Estimating Interactions

InterSIM — 2.3.0

Simulation of Inter-Related Genomic Datasets

InterVA4 — 1.7.6

Replicate and Analyse 'InterVA4'

InterVA5 — 1.1.3

Replicate and Analyse 'InterVA5'

interval — 1.1-1.0

Weighted Logrank Tests and NPMLE for Interval Censored Data

intervalaverage — 0.8.0

Time-Weighted Averaging for Interval Data

IntervalQuestionStat — 0.2.0

Tools to Deal with Interval-Valued Responses in Questionnaires

intervals — 0.15.5

Tools for Working with Points and Intervals

IntervalSurgeon — 1.3

Operating on Integer-Bounded Intervals

intervcomp — 0.1.2

Hypothesis Testing Using the Overlapping Interval Estimates

inTextSummaryTable — 3.3.3

Creation of in-Text Summary Table

inti — 0.6.6

Tools and Statistical Procedures in Plant Science

intkrige — 1.0.1

A Numerical Implementation of Interval-Valued Kriging

intmap — 1.0.0

Ordered Containers with Integer Keys

intmed — 0.1.2

Mediation Analysis using Interventional Effects

IntNMF — 1.3.0

Integrative Clustering of Multiple Genomic Dataset

intradayModel — 0.0.1

Modeling and Forecasting Financial Intraday Signals

inTrees — 1.4

Interpret Tree Ensembles

intRegGOF — 0.85-5

Integrated Regression Goodness of Fit

INTRIGUE — 0.1.0

Quantify and Control Reproducibility in High-Throughput Experiments

intRinsic — 1.1.0

Likelihood-Based Intrinsic Dimension Estimators

intrinsicDimension — 1.2.0

Intrinsic Dimension Estimation

intrinsicFRP — 2.1.0

An R Package for Factor Model Asset Pricing

intrinsicKappa — 0.1

Sample Size Planning Based on Intrinsic Kappa Value

intrval — 0.1-3

Relational Operators for Intervals

intRvals — 1.0.1

Analysis of Time-Ordered Event Data with Missed Observations

intSDM — 2.1.1

Reproducible Integrated Species Distribution Models Across Norway using 'INLA'

intsurv — 0.2.2

Integrative Survival Modeling

intsvy — 2.9

International Assessment Data Manager

inum — 1.0-5

Interval and Enum-Type Representation of Vectors

invacost — 1.1-6

Analyse Biological Invasion Costs with the 'InvaCost' Database

InvariantCausalPrediction — 0.8

Invariant Causal Prediction

InvasionCorrection — 0.1

Invasion Correction

invctr — 0.2.0

Infix Functions For Vector Operations

inventorize — 1.1.1

Inventory Analytics, Pricing and Markdowns

Inventorymodel — 1.1.0.1

Inventory Models

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