Nothing
tests/testthat/test-mean_var.R
In PhaseTypeR: General-Purpose Phase-Type Functions
context('Calculating the mean and the (co)variance')
library(testthat)
local_edition(3)
library(PhaseTypeR)
test_that(
'test the mean function for all phase-type distributions', {
expect_equal(mean(PH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
init_probs = c(1, 0, 0))),
2)
expect_equal(mean(DPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
init_probs = c(1, 0, 0))),
3)
expect_equal(mean(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0))),
c(4.5, 10.5))
expect_equal(mean(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 1),
4.5)
expect_equal(mean(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(2, 1)),
c(10.5, 4.5))
expect_error(mean(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 'a'),
'integer')
expect_error(mean(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 1.4),
'integer')
expect_equal(mean(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0))),
c(5, 14))
expect_equal(mean(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 1),
5)
expect_equal(mean(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(2, 1)),
c(14, 5))
expect_error(mean(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 'a'),
'integer')
expect_error(mean(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 1.4),
'integer')
})
test_that(
'test the var function for all phase-type distributions', {
# [E] Not the good dimensions (subint_mat and init_probs)
expect_equal(var(PH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
init_probs = c(1, 0, 0))),
5)
expect_equal(var(DPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
init_probs = c(1, 0, 0))),
34/9)
expect_equal(var(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0))),
matrix(c(36.25, 76, 76, 160.75), nrow = 2))
expect_equal(var(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 2),
160.75)
expect_equal(var(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(1, 2)),
76)
expect_equal(
diag(
var(
MPH(
subint_mat =
matrix(
c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5),
ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
)
),
c(
var(
reward_phase_type(
PH(
subint_mat =
matrix(
c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5),
ncol = 3),
init_probs = c(1, 0, 0)),
c(1, 2, 3)
)
),
var(
reward_phase_type(
PH(
subint_mat =
matrix(
c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5),
ncol = 3),
init_probs = c(1, 0, 0)),
c(4, 5, 6)
)
)
))
expect_error(var(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(1, 2, 1)),
'right indices')
expect_snapshot(var(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0))))
expect_snapshot(var(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 2))
expect_snapshot(var(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(1,2)))
expect_equal(
diag(
var(
MDPH(
subint_mat =
matrix(
c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3, byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)))
),
c(
var(
reward_phase_type(
DPH(
subint_mat =
matrix(
c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3, byrow = TRUE),
init_probs = c(1, 0, 0)),
c(1, 2, 3)
)
),
var(
reward_phase_type(
DPH(
subint_mat =
matrix(
c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3, byrow = TRUE),
init_probs = c(1, 0, 0)),
c(4, 5, 6)
)
)
)
)
expect_error(var(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(1, 2, 1)),
'right indices')
expect_equal(var(c(1, 2, 3, 4, 5)), 2.5)
})
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PhaseTypeR documentation built on July 21, 2022, 5:10 p.m.
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context('Calculating the mean and the (co)variance')
library(testthat)
local_edition(3)
library(PhaseTypeR)
test_that(
'test the mean function for all phase-type distributions', {
expect_equal(mean(PH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
init_probs = c(1, 0, 0))),
2)
expect_equal(mean(DPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
init_probs = c(1, 0, 0))),
3)
expect_equal(mean(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0))),
c(4.5, 10.5))
expect_equal(mean(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 1),
4.5)
expect_equal(mean(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(2, 1)),
c(10.5, 4.5))
expect_error(mean(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 'a'),
'integer')
expect_error(mean(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 1.4),
'integer')
expect_equal(mean(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0))),
c(5, 14))
expect_equal(mean(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 1),
5)
expect_equal(mean(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(2, 1)),
c(14, 5))
expect_error(mean(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 'a'),
'integer')
expect_error(mean(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 1.4),
'integer')
})
test_that(
'test the var function for all phase-type distributions', {
# [E] Not the good dimensions (subint_mat and init_probs)
expect_equal(var(PH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
init_probs = c(1, 0, 0))),
5)
expect_equal(var(DPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
init_probs = c(1, 0, 0))),
34/9)
expect_equal(var(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0))),
matrix(c(36.25, 76, 76, 160.75), nrow = 2))
expect_equal(var(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 2),
160.75)
expect_equal(var(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(1, 2)),
76)
expect_equal(
diag(
var(
MPH(
subint_mat =
matrix(
c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5),
ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
)
),
c(
var(
reward_phase_type(
PH(
subint_mat =
matrix(
c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5),
ncol = 3),
init_probs = c(1, 0, 0)),
c(1, 2, 3)
)
),
var(
reward_phase_type(
PH(
subint_mat =
matrix(
c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5),
ncol = 3),
init_probs = c(1, 0, 0)),
c(4, 5, 6)
)
)
))
expect_error(var(MPH(subint_mat = matrix(c(-2, 0, 0,
1, -1, 0,
0, 1, -0.5), ncol = 3),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(1, 2, 1)),
'right indices')
expect_snapshot(var(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0))))
expect_snapshot(var(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = 2))
expect_snapshot(var(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(1,2)))
expect_equal(
diag(
var(
MDPH(
subint_mat =
matrix(
c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3, byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)))
),
c(
var(
reward_phase_type(
DPH(
subint_mat =
matrix(
c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3, byrow = TRUE),
init_probs = c(1, 0, 0)),
c(1, 2, 3)
)
),
var(
reward_phase_type(
DPH(
subint_mat =
matrix(
c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3, byrow = TRUE),
init_probs = c(1, 0, 0)),
c(4, 5, 6)
)
)
)
)
expect_error(var(MDPH(subint_mat = matrix(c(0.4, 0.24, 0.12,
0, 0.4, 0.2,
0, 0, 0.5),
ncol = 3,
byrow = TRUE),
reward_mat = matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2),
init_probs = c(1, 0, 0)),
v = c(1, 2, 1)),
'right indices')
expect_equal(var(c(1, 2, 3, 4, 5)), 2.5)
})
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