Nothing

```
context("SD")
guts <- guts_setup(
C = c(4, 2, 4, 6, 6),
Ct = seq_len(5) - 1,
y = c(10,3,2,1,0),
yt = seq_len(5) - 1,
dist = "",
model = "SD",
N = 10000,
M = 10000,
study = "Test loglogistic",
Clevel = "arbitrary"
)
para <- c(hb = 1e-5, kd = 1.3, kk = 0.1, t1 = 3)
#print(guts)
test_that("new and old versions are similar (up to tolerance 1e-5)", {
expect_equal(
guts_calc_survivalprobs(guts, par = para),
c(1.0000000, 0.9999900, 0.9999800, 0.9319453, 0.7475945),
tolerance = 1e-5
)
expect_equal(
guts_calc_loglikelihood(guts, par = para),
-96.48211,
tolerance = 1e-5
)
expect_equal(
guts_report_sppe(guts),
-74.75945,
tolerance = 1e-5
)
expect_equal(
guts_report_squares(guts),
238.0985,
tolerance = 1e-5
)
})
test_that("SD raises exceptions", {
expect_error(
guts_setup(
C = c(4, 2, 4, 6, 6),
Ct = seq_len(5) - 1,
y = c(10,3,2,1,0),
yt = seq_len(5) - 1,
dist = "delta",
model = "SD",
M = NA,
N = NA,
SVR = 1,
study = "SD",
Clevel = "arbitrary"
),
".+The number of discretization time steps M.+"
)
expect_error(
guts_setup(
C = c(4, 2, 4, 6, 6),
Ct = seq_len(5) - 1,
y = c(10,3,2,1,0),
yt = seq_len(5) - 1,
dist = "delta",
model = "SD",
M = 1,
N = NA,
SVR = 1,
study = "SD",
Clevel = "arbitrary"
),
".+The number of discretization time steps M.+"
)
expect_error(
guts_setup(
C = c(4, 2, 4, 6, 6),
Ct = seq_len(5) - 1,
y = c(10,3,2,1,0),
yt = seq_len(5) - 1,
dist = "delta",
model = "SD",
M = 5000,
N = NA,
SVR = 0,
study = "SD",
Clevel = "arbitrary"
),
"The surface volume ratio SVR.+"
)
})
```

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