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Import Air Quality Monitoring Data in a Fast and Easy Way
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An R-GUI for Spatial Analysis of Surface Runoff using the NRCS-CN Method
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Simulation and Prediction with Seasonal ARIMA Models
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Base Tools for Semi-Automatic Reporting of Ordinary Surveys
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Network-Based Interpretation of Changes in Compositional Data
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XML Output Functions for Easy Creation of Moodle Questions
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Snow Profile Analysis for Snowpack and Avalanche Research
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Snow Profile Alignment, Aggregation, and Clustering
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'python' Modules from Snowpack and Avalanche Research
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Fit and Compare Species-Area Relationship Models Using Multimodel Inference
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Import ASCII Files Directly into R using Only a 'SAS' Input Script
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Sensitivity Analysis Tools for Dependence and Asymptotic Dependence
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Visualisation and Analysis of Ocean Data Derived from Satellites
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Statistical Evaluation of UMAP Dimensionality Reductions
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Inference and Learning in Stochastic Automata
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Small-Sample Adjustments for Wald Tests Using Sandwich Estimators
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Parameter-Free Domain-Agnostic Season Length Detection in Time Series
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Estimation of the Proportion of SB Explained by Confounders
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Semiparametric Bayesian Gaussian Copula Estimation and Imputation
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Structural Bayesian Information Criterion for Graphical Models
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Simulation-Based Inference using a Metamodel for Log-Likelihood Estimator
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Sparse Bayesian Learning for QTL Mapping and Genome-Wide Association Studies
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Semidefinite Programming for Fitting Block Models of Equal Block Sizes
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Inference for a Generalised SBM with a Split Merge Sampler
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Sequential Imputation with Bayesian Trees Mixed-Effects Models for Longitudinal Data
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Stable Balancing Weights for Causal Inference and Missing Data
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Spatial Transfer of Statistics among Spanish Census Sections
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Scaffolding Interfaces to Packages in Other Programming Languages
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Distributed Markov Chain Monte Carlo for Bayesian Inference in Marketing
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Scale Alignment for Between-Items Multidimensional Rasch Family Models
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Approximately Unbiased P-Values via Multiscale Bootstrap
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Single-Case Data Analyses for Single and Multiple Baseline Designs
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An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data
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Space-Time Anomaly Detection using Scan Statistics
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Single Cell Transcriptomics-Level Cytokine Activity Prediction and Estimation
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User-Defined Classification of Raster Surfaces
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Graph Neural Network-Based Framework for Single Cell Active Pathways and Gene Modules Analysis
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Shape-Constrained Additive Regression: a Maximum Likelihood Approach
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Optimization Toolkit for Pharmacokinetic-Pharmacodynamic Models
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Density Estimation and Visualization of 2D Scatter Plots
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Identifies Mean, Variance, and Hierarchically Clustered Biclusters
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Single Cell Genomics for Enhancing Cell Composition Inference from Bulk Genomics Data
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