Most recently updated packages

bayesianVARs — 0.1.6

MCMC Estimation of Bayesian Vectorautoregressions

lcda — 0.3.3

Latent Class Discriminant Analysis

nhlscraper — 0.4.2

Scraper for National Hockey League Data

portalr — 0.4.5

Create Useful Summaries of the Portal Data

INLAvaan — 0.2.3

Approximate Bayesian Latent Variable Analysis

xhaz — 2.1.0

Excess Hazard Modelling Considering Inappropriate Mortality Rates

traj — 3.0.0

Feature-Based Clustering of Longitudinal Trajectories

optimall — 1.3.1

Allocate Samples Among Strata

tepr — 1.1.14

Transcription Elongation Profiling

diffMeshGP — 0.1.1

Multi-Fidelity Computer Experiments Using the Tuo-Wu-Yu Model

evalHTE — 0.1.0

Evaluating Heterogeneous Treatment Effects

rregm — 1.0

Reparameterized Regression Models

DataQualityDashboard — 2.8.6

Execute and View Data Quality Checks on OMOP CDM Database

SignalY — 1.1.0

Signal Extraction from Panel Data via Bayesian Sparse Regression and Spectral Decomposition

robustlmm — 3.4-2

Robust Linear Mixed Effects Models

vazul — 1.0.0

Analysis Blinding Tools

EQUALPrognosis — 0.1.0

Analysing Prognostic Studies

rix — 0.18.1

Reproducible Data Science Environments with 'Nix'

rixpress — 0.11.2

Build Reproducible Analytical Pipelines with 'Nix'

kerntools — 1.2.1

Kernel Functions and Tools for Machine Learning Applications

robsurvey — 0.7-1

Robust Survey Statistics Estimation

OlinkAnalyze — 4.5.0

Facilitate Analysis of Proteomic Data from Olink

affiner — 0.2.1

A Finer Way to Render 3D Illustrated Objects in 'grid' Using Affine Transformations

antaresRead — 3.0.0

Import, Manipulate and Explore the Results of an 'Antares' Simulation

omopgenerics — 1.3.6

Methods and Classes for the OMOP Common Data Model

wintime — 0.4.3

Win Time Methods for Time-to-Event Data in Clinical Trials

CohortCharacteristics — 1.1.1

Summarise and Visualise Characteristics of Patients in the OMOP CDM

DrugUtilisation — 1.1.0

Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model

timeDate — 4052.112

Rmetrics - Chronological and Calendar Objects

MonteCarloSEM — 2.0.0

Monte Carlo Simulation for Structural Equation Modeling

R.AlphA.Home — 2.0.2

Feel at Home using R, Thanks to Shortcuts Functions Making it Simple

maestro — 1.0.0

Orchestration of Data Pipelines

evoper — 0.6.0

Evolutionary Parameter Estimation for 'Repast Simphony' Models

PhenotypeR — 0.3.1

Assess Study Cohorts Using a Common Data Model

PowRPriori — 0.1.2

Power Analysis via Data Simulation for (Generalized) Linear Mixed Effects Models

evmissing — 1.0.1

Extreme Value Analyses with Missing Data

EMOTIONS — 1.1

Ensemble Models for Lactation Curves

campsis — 1.8.1

Generic PK/PD Simulation Platform Campsis

mlr3oml — 0.12.0

Connector Between 'mlr3' and 'OpenML'

JMbayes2 — 0.6-0

Extended Joint Models for Longitudinal and Time-to-Event Data

manureshed — 0.1.2

Spatiotemporal Nutrient Balance Analysis Across Agricultural and Municipal Systems

nser — 1.6.0

Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India

RobinCar — 1.1.0

Robust Inference for Covariate Adjustment in Randomized Clinical Trials

NMA — 3.1-1

Network Meta-Analysis Based on Multivariate Meta-Analysis and Meta-Regression Models

rqlm — 4.3-1

Modified Poisson Regression for Binary Outcome and Related Methods

duckdb — 1.4.4

DBI Package for the DuckDB Database Management System

GAPR — 0.1.5

Generalized Association Plots

ggsem — 0.9.9

Interactive Structural Equation Modeling (SEM) and Multi-Group Path Diagrams

SLOPE — 2.0.0

Sorted L1 Penalized Estimation

flexdashboard — 0.6.3

R Markdown Format for Flexible Dashboards

misc3d — 0.9-2

Miscellaneous 3D Plots

netmeta — 3.3-1

Network Meta-Analysis using Frequentist Methods

nlsic — 1.2.0

Non Linear Least Squares with Inequality Constraints

plumber — 1.3.3

An API Generator for R

rlas — 1.8.3

Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data

saros — 1.6.1

Semi-Automatic Reporting of Ordinary Surveys

amapro — 0.1.4

Thin Wrapper for Mapping Library 'AMap'('Gaode')

stochtree — 0.3.0

Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference

nipnTK — 0.2.2

National Information Platforms for Nutrition Anthropometric Data Toolkit

CoSMoS — 2.1.2

Complete Stochastic Modelling Solution

OrgMassSpecR — 0.5-4

Organic Mass Spectrometry

fastml — 0.7.7

Guarded Resampling Workflows for Safe and Automated Machine Learning in R

misha — 5.4.0

Toolkit for Analysis of Genomic Data

shortIRT — 1.0.0

Procedures Based on Item Response Theory Models for the Development of Short Test Forms

flownet — 0.1.1

Transport Modeling: Network Processing, Route Enumeration, and Traffic Assignment

mmtdiff — 1.0.0

Moment-Matching Approximation for t-Distribution Differences

pscDesign — 1.0.0

Study Design for Personalised Synthetic Controls

scMetaTraj — 0.1.1

Metabolic State Space and Trajectory Analysis for Single-Cell Data

syncdr — 0.1.1

Facilitate File Handling, Directory Comparison & Synchronization

ciecl — 0.9.2

International Classification of Diseases 'ICD-10'/'ICD-11' for Chile

rjd3tramoseats — 3.6.0

Seasonal Adjustment with TRAMO-SEATS in 'JDemetra+' 3.x

MOSAlloc — 1.2.3

Constraint Multiobjective Sample Allocation

GeometricMorphometricsMix — 0.6.0.1

Heterogeneous Methods for Shape and Other Multidimensional Data

partycoloR — 0.2.0

Extract Party Colors and Logos from Wikipedia

rjd3x13 — 3.6.0

Seasonal Adjustment with X-13 in 'JDemetra+ 3.x'

tableParser — 1.0.1

Parse Tabled Content to Text Vector and Extract Statistical Standard Results

wklsr — 0.2.6

Well-Known Locations in R

CoFM — 1.1.4

Copula Factor Models

trafficCAR — 0.1.0

Bayesian CAR Models for Road-Segment Traffic

flexFitR — 1.2.2

Flexible Non-Linear Least Square Model Fitting

BiVariAn — 1.0.3

Bivariate Automatic Analysis

multvardiv — 1.0.14

Multivariate Probability Distributions, Statistical Divergence

cccrm — 3.0.6

Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures

bspline — 2.5.1

B-Spline Interpolation and Regression

tidyna — 0.4.0

NA-Aware Defaults for Common R Functions

GeneralizedUmatrixGPU — 0.1.14

Credible Visualization for Two-Dimensional Projections of Data

netmediate — 1.1.1

Micro-Macro Analysis for Social Networks

isoboost — 1.0.2

Isotonic Boosting Classification Rules

BerkeleyForestsAnalytics — 3.0.0

Compute and Summarize Core Forest Metrics from Field Data

clustMD — 1.2.2

Model Based Clustering for Mixed Data

geoflow — 1.2.0

Orchestrate Geospatial (Meta)Data Management Workflows and Manage FAIR Services

GGIR — 3.3-4

Raw Accelerometer Data Analysis

glmmLasso — 1.6.4

Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation

ctsem — 3.10.6

Continuous Time Structural Equation Modelling

geocodebr — 0.6.1

Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)

glmmrBase — 1.2.1

Generalised Linear Mixed Models in R

seminr — 2.4.0

Building and Estimating Structural Equation Models

campsismod — 1.3.0

Generic Implementation of a PK/PD Model

SurfRough — 0.0.1.2

Calculate Surface/Image Texture Indexes

jpinfect — 2023.2026.02

Acquiring and Processing Data from Japan Institute for Health Security