Author: Gary Anderson, Aneesh Raghunandan
Description: Implements Anderson-Moore algorithm for solving linear
rational expectations models.  For information about the
This version works on both Unix and Windows.  For questions
about the algorithm and its implementation/applications, please
contact gary.anderson@frb.gov.  If you are having technical
Copyright: The "C" code, sparseAim.c, implementing the basic algorithm
is in the public domain and may be used freely.  However, the
authors would appreciate acknowledgement of the source by
citation of any of the following papers: Anderson, G. and
Moore, G. "A Linear Algebraic Procedure For Solving Linear
Perfect Foresight Models."  Economics Letters, 17, 1985.
Anderson, G. "Solving Linear Rational Expectations Models: A
Horse Race." Computational Economics, 2008, vol. 31, issue 2,
pp. 95-113 Anderson, G. "A Reliable and Computationally
Efficient Algorithm for Imposing the Saddle Point Property in
Dynamic Models." Journal of Economic Dynamics and Control,

Title: Compare Gene Expressions from 2-Treatment RNA-Seq Experiments
Description: An Approximated Most Average Powerful Test with Optimal
FDR Control with Application to RNA-seq Data

person("Philippe", "Verley", email="philippe.verley@ird.fr", role = c("aut", "cre"))
Description: Read, manipulate and write voxel spaces. Voxel spaces are read
from text-based output files of the 'AMAPVox' software. 'AMAPVox' is a
LiDAR point cloud voxelisation software that aims at estimating
leaf area through several theoretical/numerical approaches. See more in the
article Vincent et al. (2017) <doi:10.23708/1AJNMP> and the technical note
Imports: methods, utils, data.table, stringr

person("Grégoire", "Vincent", , "gregoire.vincent@ird.fr", role = "aut"),
person("Julien", "Heurtebize", , "julienhtbe@gmail.com", role = "aut"),
person("Philippe", "Verley", , "philippe.verley@ird.fr", role = c("aut", "cre"))
Description: Read, manipulate and write voxel spaces. Voxel spaces are
read from text-based output files of the 'AMAPVox' software. 'AMAPVox'
is a LiDAR point cloud voxelisation software that aims at estimating
leaf area through several theoretical/numerical approaches. See more
in the article Vincent et al. (2017) <doi:10.23708/1AJNMP> and the
technical note Vincent et al. (2021) <doi:10.23708/1AJNMP>.
Imports: curl, data.table, dplyr, methods, rappdirs, rvest, stringr,
Suggests: fields, ggplot2, graphics, grDevices, knitr, RANN, rgl,
SystemRequirements: Java 1.8 64-Bit (Oracle or Corretto)
Collate: 'AMAPVox.R' 'VersionManager.R' 'AMAPVoxGUI.R' 'Butterfly.R'
'Canopy.R' 'Classes.R' 'ComputeG.R' 'Crop.R' 'FillNA.R'
'Generics.R' 'Getters.R' 'Ground.R' 'Operators.R' 'PlantArea.R'