tests/testthat/test_dclbm.R

context("COSBM test")
library(greed)
library(ggplot2)
set.seed(1234)



test_that("DcLBM", {
  mu <- cbind(lower.tri(matrix(1, 4, 4)), upper.tri(matrix(1, 4, 4))) * 0.2 + 0.01
  mu[2, 4] <- 0.21
  mu[3, 5] <- 0.21
  mm <- rlbm(1000, 800, rep(1 / 4, 4), rep(1 / 8, 8), mu)
  model <- DcLbm()
  data <- greed:::preprocess(model, mm$x)
  i <- sample(800, 1)
  oldcl <- mm$clc[i]+mm$Kr
  oldcl
  newcl <- sample(setdiff(mm$Kr+(1:mm$Kc), oldcl), 1)
  newcl
  cl <- c(mm$clr, mm$clc + max(mm$clr))
  expect_lte(greed:::test_swap(model, data, cl, 1000+i, newcl), 10^-6)
  expect_lte(greed:::test_merge(model, data, cl, oldcl, newcl), 10^-6)
  cor_dif_mat = greed:::test_merge_correction(model, data, cl, oldcl, newcl)
  expect_lte(max(abs(cor_dif_mat[!is.nan(cor_dif_mat)])),10^-3)
})

test_that("DcLbm hybrid", {
  mu <- cbind(lower.tri(matrix(1, 4, 4)), upper.tri(matrix(1, 4, 4))) * 0.2 + 0.01
  mu[2, 4] <- 0.21
  mu[3, 5] <- 0.21
  mm <- rlbm(200, 400, rep(1 / 4, 4), rep(1 / 8, 8), mu)
  model <- DcLbm()
  sol <- greed(mm$x)
  expect_gte(sol@K, 12 - 2)
  expect_lte(sol@K, 12 + 2)
  solc <- cut(sol, 8)
  expect_true(is(plot(sol, type = "tree"),"gtable"))
  expect_true(is.ggplot(plot(solc, type = "path")))
  expect_true(is.ggplot(plot(solc, type = "front")))
  expect_true(is.ggplot(plot(solc, type = "blocks")))
  expect_true(is.ggplot(plot(solc, type = "nodelink")))
})


test_that("DcLbm seed", {
  mu <- cbind(lower.tri(matrix(1, 4, 4)), upper.tri(matrix(1, 4, 4))) * 0.2 + 0.01
  mu[2, 4] <- 0.21
  mu[3, 5] <- 0.21
  mm <- rlbm(200, 400, rep(1 / 4, 4), rep(1 / 8, 8), mu)
  sol <- greed(mm$x, model = DcLbm(), alg = Seed(), K = 40)
  expect_gte(sol@K, 12 - 2)
  expect_lte(sol@K, 12 + 2)
  solc <- cut(sol, 8)
  expect_true(is(plot(sol, type = "tree"),"gtable"))
  expect_true(is.ggplot(plot(sol, type = "path")))
  expect_true(is.ggplot(plot(sol, type = "front")))
  expect_true(is.ggplot(plot(sol, type = "blocks")))
  expect_true(is.ggplot(plot(sol, type = "nodelink")))
})

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greed documentation built on Oct. 4, 2022, 1:06 a.m.