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)) })