Allows estimation and modelling of flight costs in animal (vertebrate) flight,
    implementing the aerodynamic power model described in Klein Heerenbrink et al.
    (2015) <doi:10.1098/rspa.2014.0952>. Taking inspiration from the program
    'Flight', developed by Colin Pennycuick (Pennycuick (2008) "Modelling the flying
    bird". Amsterdam: Elsevier. ISBN 0-19-857721-4), flight performance is estimated
    based on basic morphological measurements such as body mass, wingspan and wing
    area. 'afpt' can be used to make predictions on how animals should adjust their
    flight behaviour and wingbeat kinematics to varying flight conditions.

An R API providing access to a relational database with macroeconomic data for Africa. 
             The database contains >700 macroeconomic time series from mostly international sources, 
             grouped into 50 macroeconomic and development-related topics. Series are carefully selected
             on the basis of data coverage for Africa, frequency, and relevance to the macro-development context. 
             The project is part of the 'Kiel Institute Africa Initiative' 
             <https://www.ifw-kiel.de/institute/initiatives/kiel-institute-africa-initiative/>, 
             which, amongst other things, aims to develop a parsimonious database with highly relevant indicators 
             to monitor macroeconomic developments in Africa, accessible through a fast API and a web-based platform
             at <https://africamonitor.ifw-kiel.de/>. 
             The database is maintained at the Kiel Institute for the World Economy <https://www.ifw-kiel.de/>.

Generate spreadsheet publications that follow best practice
    guidance from the UK government's Analysis Function, available at 
    <https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/>,
    with a focus on accessibility. See also the 'Python' package 'gptables'.

A collection of methods for both the rank-based estimates and least-square estimates to the Accelerated Failure Time (AFT) model. For rank-based estimation, it provides approaches that include the computationally efficient Gehan's weight and the general's weight such as the logrank weight. Details of the rank-based estimation can be found in Chiou et al. (2014) <doi:10.1007/s11222-013-9388-2> and Chiou et al. (2015) <doi:10.1002/sim.6415>. For the least-square estimation, the estimating equation is solved with generalized estimating equations (GEE). Moreover, in multivariate cases, the dependence working correlation structure can be specified in GEE's setting. Details on the least-squares estimation can be found in Chiou et al. (2014) <doi:10.1007/s10985-014-9292-x>.