context("dr_ fxs")
test_that("maxnet returns correct format", {
library(S4DM)
library(terra)
# occurrence points
data("sample_points")
occurrences <- sample_points
# environmental data
env <- rast(system.file('ex/sample_env.tif', package="S4DM"))
env <- terra::scale(env) #Note: this line causes an error without the explicit call to terra
pres <- get_env_pres(coords = occurrences,
env = env)
bg <- get_env_bg(coords = occurrences,
env = env,width = 1000)
out <- S4DM:::dr_maxnet(presence_data = pres$env,
background_data = bg$env,method = "fit")
expect_equal(object = length(out),expected = 2)
expect_s3_class(object = out, class = "dr_estimate")
out2 <- S4DM:::dr_maxnet(projection_data = bg$env,method = "predict",object = out)
expect_equal(object = length(out2),expected = nrow(bg$env))
})
##############################
test_that("ulsif returns correct format", {
library(S4DM)
library(terra)
# occurrence points
data("sample_points")
occurrences <- sample_points
# environmental data
env <- rast(system.file('ex/sample_env.tif', package="S4DM"))
env <- terra::scale(env) #Note: this line causes an error without the explicit call to terra
pres <- get_env_pres(coords = occurrences,
env = env)
bg <- get_env_bg(coords = occurrences,
env = env,width = 1000)
out <- S4DM:::dr_ulsif(presence_data = pres$env,
background_data = bg$env,method = "fit")
expect_equal(object = length(out),expected = 2)
expect_s3_class(object = out, class = "dr_estimate")
out2 <- S4DM:::dr_ulsif(projection_data = bg$env,method = "predict",object = out)
expect_equal(object = length(out2),expected = nrow(bg$env))
})
##############################
test_that("rulsif returns correct format", {
library(S4DM)
library(terra)
# occurrence points
data("sample_points")
occurrences <- sample_points
# environmental data
env <- rast(system.file('ex/sample_env.tif', package="S4DM"))
env <- terra::scale(env) #Note: this line causes an error without the explicit call to terra
pres <- get_env_pres(coords = occurrences,
env = env)
bg <- get_env_bg(coords = occurrences,
env = env,width = 1000)
out <- S4DM:::dr_rulsif(presence_data = pres$env,
background_data = bg$env,method = "fit")
expect_equal(object = length(out),expected = 2)
expect_s3_class(object = out, class = "dr_estimate")
out2 <- S4DM:::dr_rulsif(projection_data = bg$env,method = "predict",object = out)
expect_equal(object = length(out2),expected = nrow(bg$env))
})
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