Increment version number

Author: egpivo

Diff for: .Rbuildignore

@@ -7,3 +7,4 @@
 ^\.github$
 ^codecov\.yml$
 ^.*\.gcno$
+^NEWS$

Diff for: .github/workflows/check-standard.yaml

@@ -70,7 +70,7 @@ jobs:
         if: runner.os == 'macOS'
         run: |
           # XQuartz is needed by vdiffr
-          brew install --cask xquartz
+          brew install xquartz
           # install gfortran 8.2 (used by CRAN)
           wget -nv https://github.com/fxcoudert/gfortran-for-macOS/releases/download/8.2/gfortran-8.2-Mojave.dmg
           sudo hdiutil attach gfortran*.dmg

Diff for: .gitignore

@@ -8,3 +8,5 @@ src/*.dll
 .DS_Store
 src/.DS_Store
 inst/doc
+*.gcno
+*Rplots.pdf

Diff for: DESCRIPTION

@@ -1,6 +1,6 @@
 Package: SpatPCA
 Title: Regularized Principal Component Analysis for Spatial Data
-Version: 1.3.1.3
+Version: 1.3.3.0
 Authors@R: c(person(
                 given = "Wen-Ting",
                 family = "Wang",

Diff for: NEWS.md

@@ -0,0 +1,15 @@
+## SpatPCA v1.3.3.0 (Release date: 2021-01-31)
+#### Overview 
+In this release, we take care of the perspective of software quality by refactoring code for better readability and adding unit-tests. Accordingly, we add multiple features by separating implicit functions from `spatpca`.
+
+#### NEW FEATURES
+1. `thinPlateSplineMatrix()` for producing a thin-plane spline matrix
+2. `predictEigenfunction()`for estimating K dominant patterns on new sites
+3. `predict()` for predicting new target variable `Y` on new sites   
+4. `plot()` for `spatpca` objects for plotting M-fold CV results
+
+#### MAINTENANCE
+- Add unit tests with code coverage `87%`
+
+
+

Diff for: man/SpatPCA-package.Rd

@@ -8,8 +8,8 @@ A new regularization approach to estimate the leading spatial patterns via smoot
 \details{\tabular{ll}{
 Package:\tab SpatPCA\cr
 Type:\tab Package\cr
-Version:\tab  1.3.1.3\cr
-Date:\tab 2021-01-25\cr
+Version:\tab  1.3.3.0\cr
+Date:\tab 2021-01-30\cr
 License: \tab GPL version 3\cr
 }
 }