Overview | XGBoost | Classification (iris) | Regression (mtcars) | GBM | Classification (iris, binary) | LightGBM | CatBoost | Adding a new backend

An R-package to gather bibliographic data from PubMed. | Installation | Load the package | NCBI API key | A brief example | One-step workflow: pmCollect() | Step-by-step workflow | Step 1: Build the query | Step 2: Check the effectiveness of the query | Step 3: Download the collection of document metadata | Step 4: Convert the XML object into a data frame | Fetching records by PMID | Citation enrichment | An overview of the collection using bibliometrix

Overview | Installation | Workflow | Classification Example | Step 1: Prepare data and train ensemble | Step 2: Compute dissimilarity matrix | Step 3: Build the E2Tree | Step 4: Inspect the tree | Step 5: Visualization | Step 6: Prediction | Step 7: Variable importance | Regression Example | Validation of the E2Tree Structure | Association vs. Agreement | The Mantel Test | Divergence and Similarity Measures | Visualizing the Reconstruction | The Normalized Loss of Interpretability (nLoI) | LoI Decomposition: Diagnosing Reconstruction Quality | Permutation Test for LoI | Validation of the Regression Example | Comparison with Related Packages | Session Info

Introduction | What Makes It Unique? | The Complete Workflow | Getting Started | Download Example Paper | PDF Import and Section Detection | Basic Import | Manual Column Specification | Comprehensive Content Analysis with API Enrichment | Full Analysis with CrossRef and OpenAlex Integration | Understanding the Results | Summary Statistics | Working with Enriched Reference Data | Exploring Reference Sources | Accessing OpenAlex Metadata | Citation-Reference Matching Quality | Citation Analysis | Citation Extraction | Citation Type Analysis | Citation Contexts | Citation Network Visualization | Creating the Network | Understanding Network Features | Network Statistics | Customizing the Network | Interpreting the Network | Citation Co-occurrence Data | Text Analysis | Word Frequencies | N-gram Analysis | Readability Metrics | Word Distribution Analysis | Visualization | Advanced Examples | Finding Specific Citations | Analyzing Highly Cited References | Custom Stopwords | Segment-based Analysis | Setting Up External API Access | CrossRef API | OpenAlex API | Export Results | Save to CSV | Workflow for Multiple Papers | Conclusion | Key Advantages | Additional Resources

An R-package to gather bibliographic data from DS Dimenions.ai | Installation | Load the package | A brief example | First step: Generate a valid token | Token by Dimensions credentials: | Token by Dimensions API key: | Second step: Write a valid query | Third step: Check the effectiveness of the query | Fourth step: Download the collection of document metadata | Fifth step: Convert the download object into a "readable" and and "usable" format | From the xml-structured object to a "classical" data frame | An overview to the collection using bibliometrix | Main information about the collection