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### tests methods argument of lmrob.control
library(robustbase)
data(stackloss)
## S
set.seed(0)
summary(m0 <- lmrob(stack.loss ~ ., data = stackloss, method = "S"))
set.seed(0)
m0a <- lmrob.S(m0$x, stack.loss, lmrob.control())
all.equal(m0[c('coefficients', 'scale', 'weights')],
m0a[c('coefficients', 'scale', 'weights')])
## MM
set.seed(0)
summary(m1 <- lmrob(stack.loss ~ ., data = stackloss, method = "MM"))
set.seed(0)
m2 <- update(m1, method = "SM")
all.equal(m1[c('coefficients', 'scale', 'cov')],
m2[c('coefficients', 'scale', 'cov')])
set.seed(0)
m3 <- update(m0, method = "SM", cov = '.vcov.w')
## SMD
set.seed(0)
summary(m4 <- lmrob(stack.loss ~ ., data = stackloss, method = "SMD", psi = 'bisquare'))
summary(m4a <- lmrob..D..fit(m3))
## rearrange m4a and update call
m4a <- m4a[names(m4)]
class(m4a) <- class(m4)
m4a$call <- m4$call
all.equal(m4, m4a)
## SMDM
set.seed(0)
summary(m5 <- lmrob(stack.loss ~ ., data = stackloss, method = "SMDM", psi = 'bisquare'))
summary(m5a <- lmrob..M..fit(obj=m4))
## rearrange m5a
m5a <- m5a[names(m5)]
class(m5a) <- class(m5)
all.equal(m5, m5a)
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