All packages

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Counternull — 0.2.12

Randomization-Based Inference

countfitteR — 1.4

Comprehensive Automatized Evaluation of Distribution Models for Count Data

countgmifs — 0.0.2

Discrete Response Regression for High-Dimensional Data

countHMM — 0.1.0

Penalized Estimation of Flexible Hidden Markov Models for Time Series of Counts

countland — 0.1.2

Analysis of Biological Count Data, Especially from Single-Cell RNA-Seq

countprop — 1.0.1

Calculate Model-Based Metrics of Proportionality on Count-Based Compositional Data

Countr — 3.5.8

Flexible Univariate Count Models Based on Renewal Processes

countries — 1.2.0

Deal with Country Data in an Easy Way

countrycode — 1.6.0

Convert Country Names and Country Codes

CountsEPPM — 3.1

Mean and Variance Modeling of Count Data

countsplit — 4.0.0

Splitting a Count Matrix into Independent Folds

countSTAR — 1.0.2

Flexible Modeling of Count Data

countToFPKM — 1.0

Convert Counts to Fragments per Kilobase of Transcript per Million (FPKM)

countTransformers — 0.0.6

Transform Counts in RNA-Seq Data Analysis

countts — 0.1.0

Thomson Sampling for Zero-Inflated Count Outcomes

coursekata — 0.18.0

Packages and Functions for 'CourseKata' Courses

covadap — 1.0.1

Implement Covariate-Adaptive Randomization

covafillr — 0.4.4

Local Polynomial Regression of State Dependent Covariates in State-Space Models

covatest — 1.2.3

Tests on Properties of Space-Time Covariance Functions

covBM — 0.1.0

Brownian Motion Processes for 'nlme'-Models

CovCombR — 1.0

Combine Partial Covariance / Relationship Matrices

covdepGE — 1.0.1

Covariate Dependent Graph Estimation

coveffectsplot — 1.0.5

Produce Forest Plots to Visualize Covariate Effects

covequal — 0.1.0

Test for Equality of Covariance Matrices

coveR2 — 1.0.0

Process Digital Cover Photography Images of Tree Crowns

covfefe — 0.1.0

Covfefy Any Word, Sentence or Speech

covglasso — 1.0.3

Sparse Covariance Matrix Estimation

COVID19 — 3.0.3

R Interface to COVID-19 Data Hub

covid19.analytics — 2.1.3.3

Load and Analyze Live Data from the COVID-19 Pandemic

covid19br — 0.1.8

Brazilian COVID-19 Pandemic Data

covid19brazil — 0.1.0

COVID-19 Dataset for Brazil

covid19dbcand — 0.1.1

Selected 'Drugbank' Drugs for COVID-19 Treatment Related Data in R Format

covid19france — 0.1.0

Cases of COVID-19 in France

covid19india — 0.1.4

Pulling Clean Data from Covid19india.org

covid19italy — 0.3.1

The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Italy Dataset

covid19sf — 0.1.2

The Covid19 San Francisco Dataset

covid19srilanka — 1.1.0

The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data in Sri Lanka

covid19swiss — 0.1.0

COVID-19 Cases in Switzerland and Principality of Liechtenstein

covid19tunisia — 0.1.0

Cases of COVID-19 in Tunisia

covid19us — 0.1.9

Cases of COVID-19 in the United States

covidcast — 0.5.2

Client for Delphi's 'COVIDcast Epidata' API

COVIDIBGE — 0.2.2

Downloading, Reading and Analyzing PNAD COVID19 Microdata

CovidMutations — 0.1.3

Mutation Analysis Toolkit for COVID-19 (Coronavirus Disease 2019)

covidmx — 0.7.7

Descarga y analiza datos de COVID-19 en México

covidnor — 2023.05.18

Public COVID-19 Data for Norway

covidprobability — 0.1.0

Estimate the Unit-Wide Probability of COVID-19

covidsymptom — 1.0.0

COVID Symptom Study Sweden Open Dataset

covKCD — 0.1

Covariance Estimation for Matrix Data with the Kronecker-Core Decomposition

covr — 3.6.4

Test Coverage for Packages

CovRegRF — 2.0.1

Covariance Regression with Random Forests

covRobust — 1.1-3

Robust Covariance Estimation via Nearest Neighbor Cleaning

CovSel — 1.2.1

Model-Free Covariate Selection

covsep — 1.1.0

Tests for Determining if the Covariance Structure of 2-Dimensional Data is Separable

covsim — 1.1.0

VITA, IG and PLSIM Simulation for Given Covariance and Marginals

covTestR — 0.1.4

Covariance Matrix Tests

CovTools — 0.5.4

Statistical Tools for Covariance Analysis

covtracer — 0.0.1

Contextualizing Tests

cowbell — 0.1.0

Performs Segmented Linear Regression on Two Independent Variables

cowplot — 1.1.3

Streamlined Plot Theme and Plot Annotations for 'ggplot2'

cowsay — 0.9.0

Messages, Warnings, Strings with Ascii Animals

CoxAIPW — 0.0.3

Doubly Robust Inference for Cox Marginal Structural Model with Informative Censoring

CoxBcv — 0.0.1.0

Bias-Corrected Sandwich Variance Estimators for Marginal Cox Analysis of Cluster Randomized Trials

coxed — 0.3.3

Duration-Based Quantities of Interest for the Cox Proportional Hazards Model

coxerr — 1.1

Cox Regression with Dependent Error in Covariates

CoxICPen — 1.1.0

Variable Selection for Cox's Model with Interval-Censored Data

coxme — 2.2-22

Mixed Effects Cox Models

Coxmos — 1.0.2

Cox MultiBlock Survival

coxphf — 1.13.4

Cox Regression with Firth's Penalized Likelihood

coxphSGD — 0.2.1

Stochastic Gradient Descent log-Likelihood Estimation in Cox Proportional Hazards Model

coxphw — 4.0.3

Weighted Estimation in Cox Regression

CoxPlus — 1.1.1

Cox Regression (Proportional Hazards Model) with Multiple Causes and Mixed Effects

CoxR2 — 1.0

R-Squared Measure Based on Partial LR Statistic, for the Cox PH Regression Model

coxrobust — 1.0.1

Fit Robustly Proportional Hazards Regression Model

coxrt — 1.0.3

Cox Proportional Hazards Regression for Right-Truncated Data

coxsei — 0.3

Fitting a CoxSEI Model

CP — 1.8

Conditional Power Calculations

cp4p — 0.3.6

Calibration Plot for Proteomics

cpa — 1.0.1

Confirmatory Path Analysis Through 'd-sep' Tests

CPAT — 0.1.0

Change Point Analysis Tests

CPBayes — 1.1.0

Bayesian Meta Analysis for Studying Cross-Phenotype Genetic Associations

CPC — 2.6.0

Implementation of Cluster-Polarization Coefficient

CPCAT — 1.0.0

The Closure Principle Computational Approach Test

cPCG — 1.0

Efficient and Customized Preconditioned Conjugate Gradient Method for Solving System of Linear Equations

cpd — 0.3.2

Complex Pearson Distributions

CPE — 1.6.3

Concordance Probability Estimates in Survival Analysis

cpfa — 1.1-4

Classification with Parallel Factor Analysis

CpGassoc — 2.70

Association Between Methylation and a Phenotype of Interest

CpGFilter — 1.1

CpG Filtering Method Based on Intra-Class Correlation Coefficients

CPGLIB — 1.1.1

Competing Proximal Gradients Library

cpi — 0.1.4

Conditional Predictive Impact

cplm — 0.7-12.1

Compound Poisson Linear Models

cplots — 0.5-0

Plots for Circular Data

cpm — 2.3

Sequential and Batch Change Detection Using Parametric and Nonparametric Methods

cpmBigData — 0.0.1

Fitting Semiparametric Cumulative Probability Models for Big Data

CPMCGLM — 1.2

Correction of the P-Value after Multiple Coding in Generalized Linear Models

CpmERCCutoff — 1.0.0

Calculation of Log2 Counts per Million Cutoff from ERCC Controls

cpmr — 0.0.9

Connectome Predictive Modelling in R

CPNCoverageAnalysis — 1.1.0

Conceptual Properties Norming Studies as Parameter Estimation

cpop — 1.0.7

Detection of Multiple Changes in Slope in Univariate Time-Series

CPoptim — 0.1.0

Convex Partition Optimisation

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