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Changelog

Source: NEWS.md

splineplot 0.2.1

Bug Fixes

  • Fixed lines being drawn outside Y-axis limits when confidence intervals exceed ylim range
    • Lines now properly stop when they go out of bounds instead of extending beyond axis limits
    • Each line (main curve, lower CI, upper CI) is handled independently
    • If lower CI goes below ylim, only that line is clipped while upper CI continues if still in range
    • Ensures clean, professional-looking plots that respect specified axis boundaries

splineplot 0.2.0

CRAN release: 2025-10-24

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

CRAN release: 2025-09-30

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