Making Optimal Matching Size-Scalable Using Optimal Calipers (bigmatch)
Implements optimal matching with near-fine balance in large observational studies with the use of optimal calipers to get a sparse network. The caliper is optimal in the sense that it is as small as possible such that a matching exists. Glover, F. (1967). <DOI:10.1002/nav.3800140304>. Katriel, I. (2008). <DOI:10.1287/ijoc.1070.0232>. Rosenbaum, P.R. (1989). <DOI:10.1080/01621459.1989.10478868>. Yang, D., Small, D. S., Silber, J. H., and Rosenbaum, P. R. (2012). <DOI:10.1111/j.1541-0420.2011.01691.x>.

Open Population Capture-Recapture (openCR)
Functions for the analysis of capture-recapture data from animal populations subject to turnover. The models extend Schwarz and Arnason (1996) <DOI:10.2307/2533048> and Borchers and Efford (2008) <DOI:10.1111/j.1541-0420.2007.00927.x>, and may be non-spatial or spatial. The parameterisation of recruitment is flexible (options include population growth rate and per capita recruitment). Spatially explicit analyses may assume home-range centres are fixed or allow dispersal between sampling sessions.

Nearest-Neighbor Analysis (nna)
Calculates spatial pattern analysis using a T-square sample procedure. This method is based on two measures ‘x’ and ‘y’. ‘x’ – Distance from the random point to the nearest individual. ‘y’ – Distance from individual to its nearest neighbor. This is a methodology commonly used in phytosociology or marine benthos ecology to analyze the species’ distribution (random, uniform or clumped patterns). Ludwig & Reynolds (1988, ISBN:0471832359).

Process Map Token Replay Animation (processanimateR)
Token replay animation for process maps created with ‘processmapR’ by using SVG animations (‘SMIL’) and the ‘htmlwidget’ package.

Recency, Frequency and Monetary Value Analysis (rfm)
Tools for RFM (recency, frequency and monetary value) analysis. Generate RFM score from both transaction and customer level data. Visualize the relationship between recency, frequency and monetary value using heatmap, histograms, bar charts and scatter plots. Includes a ‘shiny’ app for interactive segmentation. References: i. Blattberg R.C., Kim BD., Neslin S.A (2008) <doi:10.1007/978-0-387-72579-6_12>.

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