Title: Physical and Physiological Ecosystem Properties from Eddy
Authors@R: c( person("Juergen", "Knauer", role=c("aut","cre"), email="jknauer@bgc-jena.mpg.de"),
Description: Calculation of physical (e.g. aerodynamic conductance, surface temperature),
and physiological (e.g. canopy conductance, water-use efficiency) ecosystem properties
from eddy covariance data and accompanying meteorological measurements. Calculations
assume the land surface to behave like a 'big-leaf' and return bulk ecosystem/canopy variables.

Authors@R: c( person("Juergen", "Knauer", role=c("aut","cre"), email="Juergen.Knauer@csiro.au"),

Authors@R: c( person("Juergen", "Knauer", role=c("aut","cre"), email="J.Knauer@westernsydney.edu.au",
Author: Juergen Knauer [aut, cre] (<https://orcid.org/0000-0002-4947-7067>),

Description: linear regression for data too large to fit in memory
Packaged: Tue May 16 09:32:19 2006; tlumley

Title: bounded memory linear and generalized linear models
Description: Regression for data too large to fit in memory
Packaged: Thu Aug 24 15:46:26 2006; tlumley

Packaged: Tue Feb 24 10:47:44 2009; tlumley

Title: Bounded Memory Linear and Generalized Linear Models
Description: Regression for data too large to fit in memory.

Authors@R: c(person(given="Thomas", family="Lumley", email="tlumley@u.washington.edu", role="aut"), person(given="Christophe", family="Dutang", email="christophe.dutang@ensimag.fr", role="ctb"), person(given="Alan", family="Miller", role="ctb", comment="Algorithm AS 274"), person(given="Morven", family="Gentleman", role="ctb", comment="Algorithm AS 75"), person(given="Mark", family="Purver", email="mark_purver@hotmail.com", role="cre"))
Morven Gentleman [ctb] (Algorithm AS 75),
Description: Regression for data too large to fit in memory. This package functions exactly like the 'biglm' package, but works with later versions of R.

Title: Making Optimal Matching Size-Scalable Using Optimal Calipers
Description: 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.
Imports: rcbalance, stats, liqueueR, plyr, mvnfast