context("SAMC test")
test_that("samc p matrix row sums equal 1 without fidelity data", {
# Create the samc object and get the row sums of the p matrix
samc_obj <- samc(testlist[[1]]$res, testlist[[1]]$abs, model = list(fun = function(x) 1/mean(x), dir = 8, sym = TRUE))
rs <- Matrix::rowSums(samc_obj$p_matrix)
# Create a vector of the expected result based on the number of non-NA cells
# in the original data and an extra entry for the last row of the p matrix
length <- sum(!is.na(as.vector(testlist[[1]]$res)))
v <- numeric(length + 1)
v[] <- 1
# Verify equality
expect_equal(rs, v, check.names = FALSE)
})
test_that("samc p matrix row sums equal 1 with fidelity data", {
# Create the samc object and get the row sums of the p matrix
samc_obj <- samc(testlist[[1]]$res, testlist[[1]]$abs, testlist[[1]]$fid, model = list(fun = function(x) 1/mean(x), dir = 8, sym = TRUE))
rs <- Matrix::rowSums(samc_obj$p_matrix)
# Create a vector of the expected result based on the number of non-NA cells
# in the original data and an extra entry for the last row of the p matrix
length <- sum(!is.na(as.vector(testlist[[1]]$res)))
v <- numeric(length + 1)
v[] <- 1
# Verify equality
expect_equal(rs, v, check.names = FALSE)
})
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