Changelog

maimer 0.2.0

2025-07-10

Added new functions to support trap rate and REM-based density estimation workflows: mm_traprate_estimate() estimates trap rates from detection data; mm_fit_activity() models diel activity patterns; mm_fit_speedmodel() fits animal movement speed models; mm_fit_detmodel() estimates detection probability functions; mm_fit_rem() applies the Random Encounter Model (REM) to estimate animal density; mm_get_effort() calculates sampling effort metrics such as camera-days; and mm_traprate_data() prepares detection and effort data for further analysis.

2025-06-26

• mm_correct_datetime() to correct datetime stamps in camera trap datasets using a deployment-specific correction table. Supports multiple datetime formats, offset directions.

2025-06-25

• mm_plot_camtrap_activity() function to visualize camera trap deployment activity with optional gap indicators.
• mm_summarise_camtrap_activity() function to compute summary statistics for camera trap deployment activity, including active durations, gaps, and activity rates, etc.

2025-06-24

• Improved handling of non-numeric variables in mm_describe_df().
• Added support for detecting sampling breaks using mm_find_break().
• Added function to compute confidence intervals (mm_ci() and mm_lognorm_ci())
• Fixed NSE-related warnings

First Release Highlights

• Initial release of maimer
• Provides tidyverse-friendly functions for data cleaning, transformation, and visualization.
• Includes support for alpha & beta diversity, species activity overlap, and temporal analysis.
• Integrates with ggplot2 for customizable visualizations.
• Features an interactive Shiny app for image metadata handling