Fast Marching Method for Modelling Evolving Boundaries (fastmaRching)
Fast Marching Method (FMM) first developed by Sethian (1996) <http://…/1591.short>, and further extended by including a second-order approximation, the first-arrival rule, additive weights, and non-homogeneous domains following Silva and Steele (2012) <doi:10.1142/S0219525911003293> and Silva and Steele (2014) <doi:10.1016/j.jas.2014.04.021>.

Partially Additive (Generalized) Linear Model Trees (palmtree)
This is an implementation of model-based trees with global model parameters (PALM trees). The PALM tree algorithm is an extension to the MOB algorithm (implemented in the ‘partykit’ package), where some parameters are fixed across all groups. Details about the method can be found in Seibold, Hothorn, Zeileis (2016) <arXiv:1612.07498>. The package offers coef(), logLik(), plot(), and predict() functions for PALM trees.

Fast Moving Statistics Calculation (RcppMovStat)
Provides several efficient functions to calculate common moving (or rolling, running) statistics for both evenly and unevenly spaced time series: moving average, moving median, moving maximum (minimum), and so on. Built on ‘C++’, these functions are apparently more efficient than those written in a traditional ‘R’ way and also faster than others using package ‘Rcpp’.

Safe, Multiple, Simultaneous String Substitution (mgsub)
Designed to enable simultaneous substitution in strings in a safe fashion. Safe means it does not rely on placeholders (which can cause errors in same length matches).

Automating the Fitting of Double Linear Mixed Models in ‘JAGS’ (dalmatian)
Automates fitting of double GLM in ‘JAGS’. Includes automatic generation of ‘JAGS’ scripts, running ‘JAGS’ via ‘rjags’, and summarizing the resulting output.

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