Nothing
context('multicategory')
test_that('manyalt', {
data(WeatherProbs)
scores <- calcscore(tcat ~ tblw + tnrm + tabv, fam="pow",
param=c(2,rep(1/3,3)), data=WeatherProbs,
bounds=c(0,1))
expect_is(scores, 'numeric')
expect_false(any(is.na(scores)))
expect_true(all(scores <= 1) & all(scores >= 0))
scores2 <- calcscore(tcat ~ tblw + tnrm + tabv, fam="sph",
param=c(2,rep(1/3,3)), data=WeatherProbs,
bounds=c(0,1), reverse=TRUE)
expect_is(scores2, 'numeric')
expect_false(any(is.na(scores2)))
expect_true(all(scores2 <= 1) & all(scores2 >= 0))
scores3 <- calcscore(tcat ~ tblw + tnrm + tabv, fam="sph",
param=c(3,.1,.1,.8), data=WeatherProbs,
bounds=c(0,1), reverse=TRUE)
expect_is(scores3, 'numeric')
expect_false(any(is.na(scores3)))
expect_true(all(scores3 <= 1) & all(scores3 >= 0))
scores4 <- calcscore(tcat ~ tblw + tnrm + tabv, fam="sph",
param=c(3,.1,.1,.8), data=WeatherProbs[1:500,],
bounds=c(0,1), reverse=TRUE, ordered=TRUE)
expect_is(scores4, 'numeric')
expect_false(any(is.na(scores4)))
expect_true(all(scores4 <= 1) & all(scores4 >= 0))
## Fixed bug in ordered scores, when outcome is in the
## "final" column of forecasts. This check ensures that
## the better forecast receives the higher score (because
## reverse=TRUE).
expect_true(scores4[53] > scores4[60])
r2 <- seq(0, .6, .05)
r <- cbind(.4, r2, .6 - r2)
j <- rep(1, length(r2))
quad <- calcscore(j ~ r, fam="pow", param=2, bounds=c(-1,1), reverse=TRUE)
expect_true(all((quad >= -1) & (quad <= 1)))
})
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