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splineplot 0.2.0

Major Improvements

• Y-axis scaling: Implemented proper ratio scale display for HR/OR/RR when log_scale=FALSE
  • Shows actual ratio values (e.g., 0.5, 1, 2) instead of log values
  • Automatically selects appropriate breaks based on data range
  • Removes trailing zeros from labels (1.50 → 1.5)
• X-axis improvements:
  • Fixed X-axis tick visibility and direction (now properly pointing downward)
  • Adjusted plot limits to ensure ticks are always visible
• Histogram alignment: Base of histogram now correctly aligns with secondary Y-axis 0%
• Internal refactoring: Simplified data handling by always using log scale internally for ratio metrics
  • log_scale parameter now only affects Y-axis label display
  • More consistent and predictable behavior

Bug Fixes

• Fixed missing Y-axis labels in GAM interaction plots
• Corrected reference line position (always at y=0 for log scale, which represents ratio=1)
• Fixed ylabel column missing in extract_spline_interaction() output

splineplot 0.1.1

Bug Fixes

• Fixed Y-axis tick marks display issue in interaction plots
• Fixed tick marks protruding from axes when histogram is shown
• Corrected secondary Y-axis scale for “Percent of Population” in interaction plots
• Fixed X-axis positioning with floating axis for histogram display
• Improved axis tick alignment for both single and interaction plots

Documentation

• Updated GAM survival examples to use recommended weights parameter format
• Removed unnecessary logo reference from README
• Clarified that GAM Cox models should use time ~ s(predictor), weights = status format

splineplot 0.1.0

Initial Release

Major Features

• Unified interface for visualizing spline effects from GAM and GLM models
• Support for multiple model types:
  • GAM models from mgcv package with s(), te(), ti() smooth terms
  • GLM/LM models with ns() and bs() splines from splines package
  • Cox proportional hazards models from survival package
• Automatic detection of:
  • Model type and family
  • Spline terms
  • Interaction variables
• Support for various outcome types:
  • Hazard Ratios (HR) for Cox models
  • Odds Ratios (OR) for logistic models
  • Rate Ratios (RR) for Poisson models
  • Effects for linear/Gaussian models

Visualization Features

• Publication-ready ggplot2 output
• Customizable confidence intervals:
  • Dotted lines (default)
  • Ribbon/shaded style
• Built-in histogram showing data distribution
• Reference point marking with automatic SE = 0
• Support for interaction terms with by-variable
• Log scale option for ratio outcomes
• Customizable axis labels and limits

Technical Features

• Automatic handling of different spline basis functions
• Proper reference value centering with SE = 0
• Support for both Surv() and weights methods in GAM Cox models
• Limited support for pspline() in Cox models

Known Limitations

• pspline() in Cox models has limited support due to internal structure
• Recommend using ns() or bs() with Cox models for optimal results

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.