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116 | context("Truncated Normal Distribution")
test_that('The density functions provide correct answers', {
x <- seq(from = -3, to = 3)
mu <- 1; sigma <- 2; a <- -2.5; b <- 2.5
expect_equal(test_dtruncnorm(x, mu, sigma, a, b),
list(
"VectorLog" = c(-Inf, -2.426903727039, -1.801903727039,
-1.426903727039, -1.301903727039,
-1.426903727039, -Inf),
"VectorNoLog" = c(0, 0.088309841083, 0.164984503605,
0.240051036290, 0.272013460429,
0.240051036290, 0),
"DoubleLog" = -Inf,
"DoubleNoLog" = 0
)
)
x <- x[-1]
expect_equal(test_dtruncnorm(x, mu, sigma, a, b),
list(
"VectorLog" = c(-2.426903727039, -1.801903727039,
-1.426903727039, -1.301903727039,
-1.426903727039, -Inf),
"VectorNoLog" = c(0.088309841083, 0.164984503605,
0.240051036290, 0.272013460429,
0.240051036290, 0),
"DoubleLog" = -2.426903727039,
"DoubleNoLog" = 0.088309841083
)
)
})
test_that('The distribution functions provide correct answers', {
x <- seq(from = -3, to = 3)
mu <- 1; sigma <- 2; a <- -2.5; b <- 2.5
expect_equal(test_ptruncnorm(x, mu, sigma, a, b),
list(
"VectorLog" = c(-Inf, -3.311111927941, -1.821849714602,
-1.004802896029, -0.466475412921,
-0.118444326645, 0),
"VectorNoLog" = c(0, 0.036475592965, 0.161726326547,
0.366116790766, 0.627209029879,
0.888301268992, 1),
"DoubleLog" = -Inf,
"DoubleNoLog" = 0,
"VectorLogNoLower" = c(0, -0.037157459809, -0.176410652516,
-0.455890554079, -0.986737418242,
-2.191949933685, -Inf),
"VectorNoLogNoLower" = c(1, 0.963524407035, 0.838273673453,
0.633883209234, 0.372790970121,
0.111698731008, 0),
"DoubleLogNoLower" = 0,
"DoubleNoLogNoLower" = 1
)
)
x <- x[-1]
expect_equal(test_ptruncnorm(x, mu, sigma, a, b),
list(
"VectorLog" = c(-3.311111927941, -1.821849714602,
-1.004802896029, -0.466475412921,
-0.118444326645, 0),
"VectorNoLog" = c(0.036475592965, 0.161726326547,
0.366116790766, 0.627209029879,
0.888301268992, 1),
"DoubleLog" = -3.311111927941,
"DoubleNoLog" = 0.036475592965,
"VectorLogNoLower" = c(-0.037157459809, -0.176410652516,
-0.455890554079, -0.986737418242,
-2.191949933685, -Inf),
"VectorNoLogNoLower" = c(0.963524407035, 0.838273673453,
0.633883209234, 0.372790970121,
0.111698731008, 0),
"DoubleLogNoLower" = -0.037157459809,
"DoubleNoLogNoLower" = 0.963524407035
)
)
x <- x[length(x)]
expect_equal(test_ptruncnorm(x, mu, sigma, a, b),
list(
"VectorLog" = 0,
"VectorNoLog" = 1,
"DoubleLog" = 0,
"DoubleNoLog" = 1,
"VectorLogNoLower" = -Inf,
"VectorNoLogNoLower" = 0,
"DoubleLogNoLower" = -Inf,
"DoubleNoLogNoLower" = 0
)
)
})
test_that('The quantile functions provide correct answers', {
x <- c(0, 0.5, 1)
mu <- 1; sigma <- 2; a <- -2.5; b <- 2.5
expect_equal(test_qtruncnorm_nolog(x, mu, sigma, a, b),
list(
"VectorNoLog" = c(-2.5, 0.527997768764, 2.5),
"DoubleNoLog" = -2.5,
"VectorNoLogNoLower" = c(2.5, 0.527997768764, -2.5),
"DoubleNoLogNoLower" = 2.5
)
)
x <- c(-1, -2, -10)
expect_equal(test_qtruncnorm_log(x, mu, sigma, a, b),
list(
"VectorLog" = c(0.007336100294, -1.166918217198,
-2.499228507645),
"DoubleLog" = 0.007336100294,
"VectorLogNoLower" = c(1.018056443472, 1.902689539480,
2.499778898288),
"DoubleLogNoLower" = 1.018056443472
)
)
})
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