Add extra_time tests and clean up fix

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: sdmTMB
 Title: Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
-Version: 0.4.2.9004
+Version: 0.4.2.9005
 Authors@R: c(
     person(c("Sean", "C."), "Anderson", , "[email protected]",
            role = c("aut", "cre"),
@@ -108,5 +108,5 @@ Config/testthat/parallel: true
 Encoding: UTF-8
 LazyData: true
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.2.3
+RoxygenNote: 7.3.1
 SystemRequirements: GNU make

R/fit.R

@@ -767,14 +767,14 @@ sdmTMB <- function(
   }
 
   if (!is.null(extra_time)) { # for forecasting or interpolating
-    data <- expand_time(df = data, time_slices = extra_time, time_column = time, weights = weights, offset = offset, upr = upr)
+    data <- expand_time(df = data, time_slices = extra_time, time_column = time,
+      weights = weights, offset = offset, upr = upr)
     offset <- data[["__sdmTMB_offset__"]] # expanded
     weights <- data[["__weight_sdmTMB__"]] # expanded
     upr <- data[["__dcens_upr__"]] # expanded
-    # data[["__dcens_upr__"]] <- NULL
     spde$loc_xy <- as.matrix(data[,spde$xy_cols,drop=FALSE])
     spde$A_st <- fmesher::fm_basis(spde$mesh, loc = spde$loc_xy)
-    spde$sdm_spatial_id <- seq(1, nrow(data)) # FIXME
+    spde$sdm_spatial_id <- seq(1, nrow(data)) # FIXME?
   }
   check_irregalar_time(data, time, spatiotemporal, time_varying)
 

R/utils.R

@@ -229,13 +229,11 @@ parse_threshold_formula <- function(formula, thresh_type_short = "lin_thresh",
 }
 
 expand_time <- function(df, time_slices, time_column, weights, offset, upr) {
-  df[["__weight_sdmTMB__"]] <- ifelse(!is.null(weights), weights, 1)
-  df[["__sdmTMB_offset__"]] <- ifelse(!is.null(offset), offset, 0)
-  df[["__dcens_upr__"]] <- ifelse(!is.null(upr), upr, NA_real_)
+  df[["__weight_sdmTMB__"]] <- if (!is.null(weights)) weights else  1
+  df[["__sdmTMB_offset__"]] <- if (!is.null(offset)) offset else 0
+  df[["__dcens_upr__"]] <- if (!is.null(upr)) upr else NA_real_
   fake_df <- df[1L, , drop = FALSE]
-  fake_df[["__weight_sdmTMB__"]] <- 0
-  fake_df[["__sdmTMB_offset__"]] <- 0
-  fake_df[["__dcens_upr__"]] <- NA_real_
+  fake_df[["__weight_sdmTMB__"]] <- 0 # IMPORTANT: this turns off these data in the likelihood
   missing_years <- time_slices[!time_slices %in% df[[time_column]]]
   fake_df <- do.call("rbind", replicate(length(missing_years), fake_df, simplify = FALSE))
   fake_df[[time_column]] <- missing_years

tests/testthat/test-extra-time.R

@@ -110,3 +110,69 @@ test_that("extra_time, newdata, get_index() work", {
   expect_identical(ind6$year, c(2003, 2004, 2005, 2007, 2009, 2011, 2013, 2015, 2017))
   expect_equal(ind3$est, ind6$est, tolerance = 0.1)
 })
+test_that("extra time does not affect estimation (without time series estimation)", {
+  # there was a bad bug at one point where the likelihood (via the weights)
+  # wasn't getting turned off for the extra time data!
+  skip_on_cran()
+  skip_on_ci()
+  # adding extra time at beginning or end
+  m <- sdmTMB(present ~ depth_scaled,
+    family = binomial(),
+    data = pcod_2011, spatial = "on", mesh = pcod_mesh_2011
+  )
+  m1 <- sdmTMB(
+    present ~ depth_scaled,
+    family = binomial(), data = pcod_2011, spatial = "on",
+    mesh = pcod_mesh_2011,
+    extra_time = 1990
+  )
+  m2 <- sdmTMB(
+    present ~ depth_scaled,
+    family = binomial(), data = pcod_2011, spatial = "on",
+    mesh = pcod_mesh_2011,
+    extra_time = 3000
+  )
+  expect_equal(m$model$par, m1$model$par)
+  expect_equal(m$model$par, m2$model$par)
+
+  # with weights
+  set.seed(1)
+  w <- rlnorm(nrow(pcod_2011), meanlog = log(1), sdlog = 0.1)
+  m <- sdmTMB(present ~ depth_scaled,
+    family = binomial(), weights = w,
+    data = pcod_2011, spatial = "on", mesh = pcod_mesh_2011
+  )
+  m1 <- sdmTMB(
+    present ~ depth_scaled, weights = w,
+    family = binomial(), data = pcod_2011, spatial = "on",
+    mesh = pcod_mesh_2011,
+    extra_time = 1990
+  )
+  expect_equal(m$model$par, m1$model$par)
+
+  # with offset as numeric
+  o <- log(w)
+  m <- sdmTMB(density ~ depth_scaled,
+    family = tweedie(), offset = o,
+    data = pcod_2011, mesh = pcod_mesh_2011
+  )
+  m1 <- sdmTMB(density ~ depth_scaled,
+    family = tweedie(), offset = o,
+    data = pcod_2011, mesh = pcod_mesh_2011,
+    extra_time = 1990
+  )
+  expect_equal(m$model$par, m1$model$par)
+
+  # with offset as character
+  pcod_2011$off <- o
+  m <- sdmTMB(density ~ depth_scaled,
+    family = tweedie(), offset = "off",
+    data = pcod_2011, mesh = pcod_mesh_2011
+  )
+  m1 <- sdmTMB(density ~ depth_scaled,
+    family = tweedie(), offset = "off",
+    data = pcod_2011, mesh = pcod_mesh_2011,
+    extra_time = 1990
+  )
+  expect_equal(m$model$par, m1$model$par)
+})