Last data update: 2014.03.03
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R Release (3.2.3)
CranContrib
BioConductor
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Results 1  10 of 13 found.
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Given an inverse input list, generates the minimal and maximal values of the variables (linear combinations of unknowns).
● Data Source:
CranContrib
● Keywords: optimize, utilities
● Alias: Varranges
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0 images

Given an linear inverse model input list, generates the values of the inverse variables
● Data Source:
CranContrib
● Keywords: utilities
● Alias: Variables
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0 images

Given an inverse input list, generates the minimal and maximal values of the unknowns
● Data Source:
CranContrib
● Keywords: optimize, utilities
● Alias: Xranges
●
1 images

Setup
(Package: LIM) :
Creates linear inverse matrices
Creates the linear problem with equality and inequality equations.
● Data Source:
CranContrib
● Keywords: IO, utilities
● Alias: Setup, Setup.character, Setup.limfile, Setup.liminput
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0 images

functions that read and solve linear inverse problems (food web problems, linear programming problems, flux balance analysis).
● Data Source:
CranContrib
● Keywords: package
● Alias: LIM, LIMpackage
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0 images

Solves a linear inverse model using linear programming
● Data Source:
CranContrib
● Keywords: algebra, array, optimize
● Alias: Linp, Linp.character, Linp.double, Linp.lim, Linp.limfile
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0 images

Solves a linear inverse model using least distance programming, i.e. minimizes the sum of squared unknowns.
● Data Source:
CranContrib
● Keywords: algebra, array, optimize
● Alias: Ldei, Ldei.character, Ldei.double, Ldei.lim, Ldei.limfile
●
0 images

Read
(Package: LIM) :
Reads an inverse input file
Reads an inverse input file and creates the inverse problem as a list, of type "liminput"
● Data Source:
CranContrib
● Keywords: IO
● Alias: Read
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0 images

Given an inverse input list, randomly samples the unknowns, using an MCMC method
● Data Source:
CranContrib
● Keywords: optimize, utilities
● Alias: Xsample
●
1 images

Prints the linear inverse problem:
● Data Source:
CranContrib
● Keywords: IO, utilities
● Alias: PrintMat
●
0 images

