enhancement: deal with zero standard deviation

Author: MikeJaredS

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: hermiter
 Title: Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)
 Version: 2.2.0
-Date: 2022-06-05
+Date: 2022-11-12
 Authors@R: c(
   person("Michael","Stephanou",role=c("aut","cre"), email="[email protected]"),
   person("Melvin","Varughese",role="ctb"))
@@ -27,7 +27,7 @@ LinkingTo:
   BH,
   RcppParallel
 SystemRequirements: GNU make
-RoxygenNote: 7.2.1
+RoxygenNote: 7.2.2
 Suggests: 
     testthat,
     magrittr,

NEWS.md

@@ -16,7 +16,8 @@ N = 20.
 ## Major enhancements
 
 * Parallel implementation of batch updating using RcppParallel provides 
-significant performance improvements on multicore systems.
+significant performance improvements on multicore systems. Note that this 
+can be disabled by using options(hermiter.parallel = FALSE).
 
 ## Minor improvements and bug fixes
 

R/hermite_estimator_bivar.R

@@ -326,10 +326,13 @@ update_sequential.hermite_estimator_bivar <- function(h_est_obj, x)
       x <- (x - upd_mean)/sqrt(upd_var)
     }
   }
+  if (any(is.na(x))){
+    return(h_est_obj)
+  }
   h_x <-
-    as.vector(hermite_function(h_est_obj$N_param, x[1]))
+    as.vector(hermite_function_N(h_est_obj$N_param, x[1]))
   h_y <-
-    as.vector(hermite_function(h_est_obj$N_param, x[2]))
+    as.vector(hermite_function_N(h_est_obj$N_param, x[2]))
   if (is.na(h_est_obj$exp_weight)) {
     h_est_obj$coeff_vec_x <-
       (h_est_obj$coeff_vec_x * (h_est_obj$num_obs - 1) + h_x) / 

R/hermite_estimator_univar.R

@@ -238,6 +238,9 @@ update_sequential.hermite_estimator_univar <- function(h_est_obj, x) {
       x <- (x - h_est_obj$running_mean) / sqrt(h_est_obj$running_variance)
     }
   }
+  if (is.na(x)){
+    return(h_est_obj)
+  }
   h_k <-
     as.vector(hermite_function(h_est_obj$N_param, x))
   if (is.na(h_est_obj$exp_weight)) {

cran-comments.md

@@ -16,7 +16,8 @@ N = 20.
 ## Major enhancements
 
 * Parallel implementation of batch updating using RcppParallel provides 
-significant performance improvements on multicore systems.
+significant performance improvements on multicore systems. Note that this 
+can be disabled by using options(hermiter.parallel = FALSE).
 
 ## Minor improvements and bug fixes
 
@@ -26,25 +27,26 @@ significant performance improvements on multicore systems.
 
 
 ## Test environments
-* local R installation, Windows 10, R 4.1.2
-* local R installation, Ubuntu Linux 21.10, R 4.1.2
-* Ubuntu Linux 20.04.1 LTS (r-hub)
-* Debian Linux, R-release, GCC (r-hub)
+* local R installation, Windows 10, R 4.2.2
+* Ubuntu Linux 20.04.1 LTS, R-release, GCC (r-hub)
 * Debian Linux, R-devel, GCC ASAN/UBSAN (r-hub)
-* Fedora Linux (r-hub)
-* Apple Silicon (M1), macOS 11.6 Big Sur, R-release
-* macOS 10.13.6 High Sierra, R-release, CRAN's setup
-* Oracle Solaris 10, x86, 32 bit, R-release (r-hub)
-* win-builder (devel and release)
+* Fedora Linux, R-devel, clang, gfortran (r-hub)
+* macOS 10.13.6 High Sierra, R-release, brew
+* Windows Server 2022, R-devel, 64 bit (r-hub)
+* win-builder (devel, release. oldrel)
 
 ## R CMD check results
 
-There was 1 NOTE:
+There was 1 NOTE across environments:
 
 GNU make is a SystemRequirements.
 
-    
 * This appears to be related to using RcppParallel and does not seem 
 problematic. GNU make has been added to SystemRequirements in the Description
 file.
 
+* In addition, on Ubuntu 20.04.1 LTS, the package 
+appears to be slightly larger than 5MB, around 5.9 MB. This does not
+appear to occur on any of the other environments however (i.e. Fedora Linux, 
+Windows, MacOS)
+