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📈 nonparTrendR

nonparTrendR is an R package implementing a nonparametric trend test for independent and dependent samples, based on Bathke (2009). It detects consistent monotonic trends (increasing or decreasing) across time points or ordered groups, while accounting for within-subject correlations in repeated measures.

✨ Features

• 📌 Supports both independent and repeated measures designs.
• 📊 Rank-based test statistic (ν̂) with two-sided and directional alternatives.
• 🔗 Handles within-subject dependencies in longitudinal data.
• ✅ Returns standard htest objects for easy integration.

📚 Reference

Bathke, A. C. (2009).
A unified approach to nonparametric trend tests for dependent and independent samples.
Metrika, 69(1), 17–29.

🛠 Installation

# Install from CRAN (after release)
install.packages("nonparTrendR")

# Or install development version from GitHub
devtools::install_github("yourusername/nonparTrendR")

🚀 Quick Example

Independent samples

library(nonparTrendR)

data_indep <- list(
  c(6.62, 6.65, 5.78),  # Group 1
  c(6.25, 6.95, 5.61),  # Group 2
  c(7.11, 5.68, 6.23)   # Group 3
)

nonparTrendR_test(data_indep, type = "I", alternative = "increasing")

Dependent samples

data_dep <- matrix(c(
  8, 6, 5, 5, 4,
  7, 6, 6, 6, 6,
  6, 5, 5, 4, 2
), nrow = 3, byrow = TRUE)

nonparTrendR_test(data_dep, type = "D", alternative = "decreasing")

🧪 Example Use Cases

• Clinical trials (longitudinal symptom scores)
• Industrial process monitoring
• Customer metrics over time
• Seasonal survey responses

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.
Health stats visible at Monitor.