All packages

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A3 — 1.0.0

Accurate, Adaptable, and Accessible Error Metrics for Predictive Models

abbyyR — 0.5.0

Access to Abbyy Optical Character Recognition (OCR) API

abc — 2.1

Tools for Approximate Bayesian Computation (ABC)

abc.data — 1.0

Data Only: Tools for Approximate Bayesian Computation (ABC)

ABC.RAP — 0.9.0

Array Based CpG Region Analysis Pipeline

ABCanalysis — 1.1.2

Computed ABC Analysis

abcdeFBA — 0.4

ABCDE_FBA: A-Biologist-Can-Do-Everything of Flux Balance Analysis with this package.

ABCoptim — 0.14.0

Implementation of Artificial Bee Colony (ABC) Optimization

ABCp2 — 1.2

Approximate Bayesian Computational Model for Estimating P2

abcrf — 1.5

Approximate Bayesian Computation via Random Forests

abctools — 1.0.4

Tools for ABC Analyses

abd — 0.2-8

The Analysis of Biological Data

abf2 — 0.7-1

Load Gap-Free Axon ABF2 Files

ABHgenotypeR — 1.0.1

Easy Visualization of ABH Genotypes

abind — 1.4-5

Combine Multidimensional Arrays

abjutils — 0.0.1

Useful Tools for Jurimetrical Analysis Used by the Brazilian Jurimetrics Association

abn — 1.0.2

Modelling Multivariate Data with Additive Bayesian Networks

abodOutlier — 0.1

Angle-Based Outlier Detection

AbsFilterGSEA — 1.5

Improved False Positive Control of Gene-Permuting GSEA with Absolute Filtering

AbSim — 0.1

Time Resolved Simulations of Antibody Repertoires

abundant — 1.1

High-Dimensional Principal Fitted Components and Abundant Regression

ACA — 1.0

Abrupt Change-Point or Aberration Detection in Point Series

acc — 1.3.3

Exploring Accelerometer Data

accelerometry — 2.2.5

Functions for Processing Minute-to-Minute Accelerometer Data

accelmissing — 1.1

Missing Value Imputation for Accelerometer Data

AcceptanceSampling — 1.0-5

Creation and Evaluation of Acceptance Sampling Plans

ACCLMA — 1.0

ACC & LMA Graph Plotting

accrual — 1.2

Bayesian Accrual Prediction

accrued — 1.4.1

Data Quality Visualization Tools for Partially Accruing Data

ACD — 1.5.3

Categorical data analysis with complete or missing responses

ACDm — 1.0.4

Tools for Autoregressive Conditional Duration Models

acebayes — 1.3.4

Optimal Bayesian Experimental Design using the ACE Algorithm

acepack — 1.4.1

ACE and AVAS for Selecting Multiple Regression Transformations

ACEt — 1.7.1

Estimating Dynamic Heritability and Twin Model Comparison

acid — 1.1

Analysing Conditional Income Distributions

acm4r — 1.0

Align-and-Count Method comparisons of RFLP data

acmeR — 1.1.0

Implements ACME Estimator of Bird and Bat Mortality by Wind Turbines

ACNE — 0.8.1

Affymetrix SNP Probe-Summarization using Non-Negative Matrix Factorization

acnr — 0.2.4

Annotated Copy-Number Regions

acopula — 0.9.2

Modelling dependence with multivariate Archimax (or any user-defined continuous) copulas.

acp — 2.1

Autoregressive Conditional Poisson

aCRM — 0.1.1

Convenience functions for analytical Customer Relationship Management

AcrossTic — 1.0-3

A Cost-Minimal Regular Spanning Subgraph with TreeClust

acrt — 1.0.1

Autocorrelation Robust Testing

acs — 2.0

Download, Manipulate, and Present American Community Survey and Decennial Data from the US Census

ACSNMineR — 0.16.8.25

Gene Enrichment Analysis from ACSN Maps or GMT Files

acss — 0.2-5

Algorithmic Complexity for Short Strings

acss.data — 1.0

Data Only: Algorithmic Complexity of Short Strings (Computed via Coding Theorem Method)

ACSWR — 1.0

A Companion Package for the Book "A Course in Statistics with R"

ACTCD — 1.1-0

Asymptotic Classification Theory for Cognitive Diagnosis

Actigraphy — 1.3.2

Actigraphy Data Analysis

activity — 1.1

Animal Activity Statistics

activpalProcessing — 1.0.2

Process activPAL Events Files

actuar — 2.1-0

Actuarial Functions and Heavy Tailed Distributions

ActuDistns — 3.0

Functions for actuarial scientists

ada — 2.0-5

The R Package Ada for Stochastic Boosting

adabag — 4.1

Applies Multiclass AdaBoost.M1, SAMME and Bagging

adagio — 0.6.5

Discrete and Global Optimization Routines

AdapEnetClass — 1.2

A Class of Adaptive Elastic Net Methods for Censored Data

adapr — 1.0.2

Implementation of an Accountable Data Analysis Process

adaptDA — 1.0

Adaptive Mixture Discriminant Analysis

AdaptFit — 0.2-2

Adaptive Semiparametic Regression

AdaptFitOS — 0.62

Adaptive Semiparametric Regression with Simultaneous Confidence Bands

AdaptGauss — 1.2.4

Gaussian Mixture Models (GMM)

AdaptiveSparsity — 1.4

Adaptive Sparsity Models

adaptivetau — 2.2-1

Tau-Leaping Stochastic Simulation

adaptMCMC — 1.1

Implementation of a generic adaptive Monte Carlo Markov Chain sampler

adaptsmoFMRI — 1.1

Adaptive Smoothing of FMRI Data

adaptTest — 1.0

Adaptive two-stage tests

ADCT — 0.1.0

Adaptive Design in Clinical Trials

addhaz — 0.4

Binomial and Multinomial Additive Hazards Models

addhazard — 1.0.0

Fit Additive Hazards Models for Survival Analysis

addinslist — 0.2

Discover and Install Useful RStudio Addins

additivityTests — 1.1-4

Additivity Tests in the Two Way Anova with Single Sub-class Numbers

addreg — 2.0

Additive Regression for Discrete Data

ADDT — 2.0

Analysis of Accelerated Destructive Degradation Test Data

ade4 — 1.7-5

Analysis of Ecological Data : Exploratory and Euclidean Methods in Environmental Sciences

ade4TkGUI — 0.2-9

'ade4' Tcl/Tk Graphical User Interface

adegenet — 2.0.1

Exploratory Analysis of Genetic and Genomic Data

adegraphics — 1.0-6

An S4 Lattice-Based Package for the Representation of Multivariate Data

adehabitat — 1.8.18

Analysis of Habitat Selection by Animals

adehabitatHR — 0.4.14

Home Range Estimation

adehabitatHS — 0.3.12

Analysis of Habitat Selection by Animals

adehabitatLT — 0.3.21

Analysis of Animal Movements

adehabitatMA — 0.3.11

Tools to Deal with Raster Maps

adephylo — 1.1-10

Adephylo: Exploratory Analyses for the Phylogenetic Comparative Method

AdequacyModel — 2.0.0

Adequacy of Probabilistic Models and General Purpose Optimization

adespatial — 0.0-7

Multivariate Multiscale Spatial Analysis

ADGofTest — 0.3

Anderson-Darling GoF test

adhoc — 1.0

calculate ad hoc distance thresholds for DNA barcoding identification

adimpro — 0.8.2

Adaptive Smoothing of Digital Images

AdjBQR — 1.0

Adjusted Bayesian Quantile Regression Inference

adlift — 1.3-2

An adaptive lifting scheme algorithm

ADM3 — 1.3

An Interpretation of the ADM method - automated detection algorithm.

AdMit — 2.1.3

Adaptive Mixture of Student-t Distributions

admixturegraph — 1.0.2

Admixture Graph Manipulation and Fitting

ADMMnet — 0.1

Regularized Model with Selecting the Number of Non-Zeros

ADPclust — 0.7

Fast Clustering Using Adaptive Density Peak Detection

ads — 1.5-2.2

Spatial point patterns analysis

AdvBinomApps — 1.0

Upper Clopper-Pearson Confidence Limits for Burn-in Studies under Additional Available Information

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