added additional check in subset method

R/fit.R

@@ -248,7 +248,21 @@ fit_glmpca_pois <- function(
       size = ceiling(ncol(Y) * control$training_frac)
     )
 
+    browser()
     Y_train <- Y[, train_idx]
+
+    if (any(Matrix::rowSums(Y_train) == 0) || any(Matrix::colSums(Y_train) == 0)) {
+
+      stop(
+        "After subsetting, the remaining values of \"Y\" ",
+        "contain a row or a column where all counts are 0. This can cause ",
+        "problems with optimization. Please either remove rows / columns ",
+        "with few non-zero counts from \"Y\", or set \"training_frac\" to ",
+        "a larger value."
+        )
+
+    }
+
     FF_train <- FF[, train_idx]
     FF_test <- FF[, -train_idx]
     Y_test <- Y[, -train_idx]

inst/scratch/test_projection_method.R

@@ -1,10 +1,12 @@
 library(fastglmpca)
 
 set.seed(1)
+cc <- pbmc_facs$counts[Matrix::rowSums(pbmc_facs$counts) > 10, ]
+
 fit1 <- fit_glmpca_pois(
-  Y = pbmc_facs$counts, 
+  Y = cc, 
   K = 2,
-  control = list(training_frac = 1, maxiter = 10)
+  control = list(training_frac = 0.99, maxiter = 10)
 )
 
 # for some reason the calculated log-likelihood and the expected