Nothing

```
# Test Estimation Methods -------------------------------------------------
library(testthat)
context("Matrix Estimation")
test_that("Anand et al",
{
L <- c(a = 4, b = 5, c = 5, d = 0, e = 0, f = 2, g = 4)
A <- c(a = 7, b = 5, c = 3, d = 1, e = 3, f = 0, g = 1)
M <- matrix_estimation(A, L, verbose = F)
M2 <- round(M, 2)
check_m <- c(0, 1.72, 0.98, 0.25, 0.75, 0, 0.3,
2.53, 0, 1.06, 0.27, 0.81, 0, 0.32,
2.18, 1.6, 0, 0.23, 0.7, 0, 0.28,
0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0,
0.74, 0.54, 0.31, 0.08, 0.24, 0, 0.09,
1.55, 1.14, 0.65, 0.17, 0.5, 0, 0)
expect_equal(c(M2), c(check_m))
expect_equal(sum(rowSums(M)), sum(A))
expect_equal(sum(colSums(M)), sum(L))
check_md <- c(0,3,0,0,0,0,1,
3,0,2,0,0,0,0,
0,2,0,0,3,0,0,
rep(0, 7),
rep(0, 7),
0,0,1,1,0,0,0,
4,0,0,0,0,0,0)
set.seed(192)
md <- matrix_estimation(A, L, method = "md", verbose = F)
expect_equal(c(md), c(check_md))
expect_equal(sum(rowSums(md)), sum(A))
expect_equal(sum(colSums(md)), sum(L))
}
)
test_that("Capture printing",
{
L <- c(a = 4, b = 5, c = 5, d = 0, e = 0, f = 2, g = 4)
A <- c(a = 7, b = 5, c = 3, d = 1, e = 3, f = 0, g = 1)
print.me <- capture.output(max_ent(A, L))
set.seed(192)
print.md <- capture.output(min_dens(A, L))
}
)
```

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