Description Usage Arguments Value Note Author(s) References See Also Examples
Given the linear constraints
Ex=f
Gx>=h
and a set of "variables" described by the linear equations
Var = EqA.x+EqB
finds the minimum and maximum values of the variables by successively minimising and maximising each variable equation
1 2 
E 
numeric matrix containing the coefficients of the equalities Ex=F. 
F 
numeric vector containing the righthand side of the equalities. 
G 
numeric matrix containing the coefficients of the inequalities Gx>=H. 
H 
numeric vector containing the righthand side of the inequalities. 
EqA 
numeric matrix containing the coefficients that define the variable equations. 
EqB 
numeric vector containing the righthand side of the variable equations. 
ispos 
if 
tol 
tolerance for equality and inequality constraints. 
a 2column matrix with the minimum and maximum value of each equation (variable)
uses linear programming function lp
from package
lpSolve
.
Karline Soetaert <[email protected]>
Michel Berkelaar and others (2010). lpSolve: Interface to Lp_solve v. 5.5 to solve linear/integer programs. R package version 5.6.5. http://CRAN.Rproject.org/package=lpSolve
Minkdiet
, for a description of the Mink diet example.
xranges
, to estimate ranges of inverse unknowns.
xsample
, to randomly sample the lsei problem
lp
: linear programming function from package lpSolve.
1 2 3 4 5 6 7 8 9  # Ranges in the contribution of food 3+4+5 in the diet of Mink (try ?Minkdiet)
E < rbind(Minkdiet$Prey, rep(1, 7))
F < c(Minkdiet$Mink, 1)
EqA < c(0, 0, 1, 1, 1, 0, 0) # sum of food 3,4,5
(isoA < varranges(E, F, EqA = EqA, ispos = TRUE)) # ranges of part of food 3+4+5
# The same, but explicitly imposing positivity
varranges(E, F, EqA = EqA, G = diag(7), H = rep(0, 7))

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