Designed to support the application of plant trait data providing easy applicable functions
    for the basic steps of data preprocessing, e.g. data import, data exploration, selection of columns
    and rows, excluding trait data according to different attributes, geocoding, long- to wide-table
    transformation, and data export. 'rtry' was initially developed as part of the TRY R project to
    preprocess trait data received via the TRY database.

This framework aims to provide classes and methods for manipulating and processing of raster time series data (e.g. a time series of satellite images).

Supports modelling case data to facilitate. The package provides automated computational grid generation over
    an area of interest with methods to map covariates between geographies, model fitting including spatially aggregated case counts, 
    and predictions and visualisation. Monte Carlo maximum likelihood is the main fitting method with a low-rank approximation for Gaussian processes 
    described by Solin and Särkkä (2020) <doi:10.1007/s11222-019-09886-w> and a stochastic partial differential equation approximation. Bayesian methods 
    are also provided for some methods. Log-Gaussian Cox Processes are described by 
    Diggle et al. (2013) <doi:10.1214/13-STS441>.

Frequentist sequential meta-analysis based on 
    'Trial Sequential Analysis' (TSA) in programmed in Java by the Copenhagen 
    Trial Unit (CTU). The primary function is the calculation of group 
    sequential designs for meta-analysis to be used for planning and analysis of
    both prospective and retrospective sequential meta-analyses to preserve 
    type-I-error control under sequential testing. 'RTSA' includes tools for 
    sample size and trial size calculation for meta-analysis and core 
    meta-analyses methods such as fixed-effect and random-effects models and
    forest plots. TSA is described in Wetterslev et. al (2008) 
    <doi:10.1016/j.jclinepi.2007.03.013>. The methods for deriving the
    group sequential designs are based on Jennison and Turnbull (1999,
    ISBN:9780849303166).