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Connect to ODBC Compatible Databases (using the DBI Interface)
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Electric Vehicle Charging Sessions Profiling and Modelling
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Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data
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Deep Neural Networks for Survival Analysis using 'torch'
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Generate Optimal Designs of Accelerated Life Test using PSO-Based Algorithm
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Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
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Linking Geographic Information Systems, Remote Sensing and Other Command Line Tools
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Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling
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Build and Manipulate Study Cohorts Using a Common Data Model
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Toolkit for Weighting and Analysis of Nonequivalent Groups
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Apply Functions to All Combinations of List Elements
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Hardware-Accelerated Rerandomization for Improved Balance
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Spatial Bayesian Methods for Task Functional MRI Studies
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Bootstrap-Based Hypothesis Testing using Different Resampling Schemes
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Mixed Regression Models with Generalized Log-Gamma Random Effects
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Date and Time Extensions for the 'rebus' Package
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Quantile-Quantile Plot with Several Gaussian Simulations
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Report Templates and Helper Functions for Applied Epidemiology
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Pairwise Comparison Tools for Large Language Model-Based Writing Evaluation
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Collection of Correlation and Association Estimators
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Finite Mixture of Censored Regression Models with Skewed Distributions
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Spatiotemporal Nutrient Balance Analysis Across Agricultural and Municipal Systems
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Client for the Poverty and Inequality Platform ('PIP') API
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Broken Adaptive Ridge Regression with Cyclops
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Network-Guided Temporal Forests for Feature Selection in High-Dimensional Longitudinal Data
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'C++' Implementations of Functional Enrichment Analysis
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Survival Analysis with Subject-Specific (Case Weights) and Time-Dependent Weighting
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An Imputation Approach to Estimating Path-Specific Causal Effects
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Simulation and Inference for Stochastic Differential Equations
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Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
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Simulation and Inference for Stochastic Differential Equations
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Prediction Explanation with Dependence-Aware Shapley Values
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Various Functions to Facilitate Visualization of Data and Analysis
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Tools and Infrastructure for Developing 'Scalable' 'HDF5'-Based Methods
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Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
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Fit, Simulate and Diagnose Exponential-Family Models for Networks
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Guarded Resampling Workflows for Safe and Automated Machine Learning in R
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Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
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Extract Drugs from Differential Expression Data from LINCS Database
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Modified Poisson Regression for Binary Outcome and Related Methods Involving Target Trial Emulations
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A Common Representation of Time Indices of Different Types
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Conversion of R Regression Output to LaTeX or HTML Tables