search for: simpres

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2023 Aug 31
1
simulating future observations from heteroscedastic fits
Hello, All: I want to simulate future observations from fits to heteroscedastic data. A simple example is as follows: (DF3_2 <- data.frame(y=c(1:3, 10*(1:3)), gp=factor(rep(1:2, e=3)))) # I want to fit 4 models # and simulate future observations from all 4: fit11 <- lm(y~1, DF3_2) fit21 <- lm(y~gp, DF3_2) library(nlme) (fit12 <- lme(y~1, data=DF3_2,
2002 Jan 25
0
Simplex difficulties
...e = 8 c + f = 7 I've implemented this in R (1.4.0 (2001-12-19), SunOS 5.7) as: require(boot) costs = c(8,6,10,9,5,7) constraints = c( 1,1,1,0,0,0, 0,0,0,1,1,1, 1,0,0,1,0,0, 0,1,0,0,1,0, 0,0,1,0,0,1 ) consmat = matrix(constraints, nrow=5, ncol=6, byrow=T) consrhs = c(11,14,10,8,7) simpres = simplex(a=costs, A3=consmat, b3=consrhs, maxi=F) where I get the error from the simplex function: Error in simplex1(out1$a[1:(n + m1 + m2)], out1$A[, 1:(n + m1 + m2)], : subscript out of bounds According to Gass (An Illustrated Guide to Linear Programming) the solution should be a=10, b=1...