* using log directory 'd:/RCompile/CRANincoming/R-devel/GeoModels.Rcheck'
* using R version 4.4.0 alpha (2024-04-08 r86370 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 13.2.0
    GNU Fortran (GCC) 13.2.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* checking for file 'GeoModels/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'GeoModels' version '2.0.0'
* package encoding: UTF-8
* checking CRAN incoming feasibility ... Note_to_CRAN_maintainers
Maintainer: 'Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>'
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'GeoModels' can be installed ... OK
* used C compiler: 'gcc.exe (GCC) 13.2.0'
* used Fortran compiler: 'GNU Fortran (GCC) 13.2.0'
* checking installed package size ... OK
* checking package directory ... OK
* checking for future file timestamps ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [42s] OK
* checking Rd files ... NOTE
checkRd: (-1) GeoVarestbootstrap.Rd:26: Lost braces
    26 |        \item{method}{String; The method of simulation. Default is \code{cholesky}. For large data set three options are  \code{TB} or code{CE}  or \code{Vecchia} (see the  \code{GeoSimapprox}) function. } 
       |                                                                                                                                           ^
* checking Rd metadata ... OK
* checking Rd line widths ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of 'data' directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking line endings in Makefiles ... OK
* checking compilation flags in Makevars ... OK
* checking for GNU extensions in Makefiles ... OK
* checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK
* checking use of PKG_*FLAGS in Makefiles ... OK
* checking use of SHLIB_OPENMP_*FLAGS in Makefiles ... OK
* checking pragmas in C/C++ headers and code ... OK
* checking compilation flags used ... OK
* checking compiled code ... OK
* checking usage of KIND in Fortran files ... OK
* checking examples ... [41s] ERROR
Running examples in 'GeoModels-Ex.R' failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: GeoSimapprox
> ### Title: Fast simulation of Gaussian and non Gaussian Random Fields.
> ### Aliases: GeoSimapprox
> ### Keywords: Simulation
> 
> ### ** Examples
> 
> library(GeoModels)
> 
> 
> ################################################################
> ###
> ### Example 1. Simulation of a large spatial Gaussian RF 
> ###            with  Matern  covariance model
> ###            using circulant embeeding method
> ###            It works only for regular grid
> ###            for any typpe of correlation model
> ###############################################################
> set.seed(68)
> x = seq(0,1,0.005)
> y = seq(0,1,0.005)
> param=list(smooth=1.5,mean=0,sill=1,scale=0.2/3,nugget=0)
> # Simulation of a spatial Gaussian RF with Matern correlation function
> data1 <- GeoSimapprox(coordx=x,coordy=y, grid=TRUE,corrmodel="Matern", model="Gaussian",
+                       method="CE",param=param)$data
> fields::image.plot( matrix(data1, length(x), length(y), byrow = TRUE) )
> 
> ################################################################
> ###
> ### Example 2. Simulation of a large spatial Gaussian RF 
> ###            with  Matern  covariance model
> ###            using Turning band method
> ###            It works for (ir)regular grid
> ###            for the Matern model
> ###############################################################
> set.seed(68)
> x = runif(10000)
> y = runif(10000)
> coords=cbind(x,y)
> param=list(smooth=0.5,mean=0,sill=1,scale=0.1,nugget=0)
> # Simulation of a spatial Gaussian RF with Matern correlation function
> data1 <- GeoSimapprox(coords, corrmodel="Matern", model="Gaussian",
+                       method="TB",param=param)$data
> quilt.plot(coords,data1)
> 
> 
> ################################################################
> ###
> ### Example 3. Simulation of a large spatial Gaussian RF 
> ###            with  matern  covariance model
> ###            using Vecchia's method
> ###            It works  for (ir)regular grid
> ###            for the Matern model
> ###############################################################
> set.seed(68)
> x = runif(6000)
> y = runif(6000)
> coords=cbind(x,y)
> param=list(smooth=0.5,mean=0,sill=1,scale=0.1,nugget=0)
> # Simulation of a spatial Gaussian RF with Matern correlation function
> data1 <- GeoSimapprox(coords, corrmodel="Matern", model="Gaussian",
+                       method="Vecchia",param=param)$data
> quilt.plot(coords,data1)
> 
> 
> 
> ################################################################
> ###
> ### Example 4. Simulation of a large spacetime Gaussian RF 
> ###            with separable matern  covariance model
> ###            using  Circular embeeding method
> ###            It works  for (large) regular time grid
> ###            and separable spacetime models
> ###############################################################
> set.seed(68)
> coordt <- (0:100)
> coords <- cbind( runif(100, 0 ,1), runif(100, 0 ,1))
> param <- list(mean  = 0, sill = 1, nugget = 0.25,
+               scale_s = 0.05, scale_t = 2, 
+               smooth_s = 0.5, smooth_t = 0.5)
> # Simulation of a spatial Gaussian RF with Matern correlation function
> param<-list(nugget=0,mean=0,scale_s=0.2/3,scale_t=2/3,sill=1,smooth_s=0.5,smooth_t=0.5)
> 
> data <- GeoSimapprox(coordx=coords, coordt=coordt, corrmodel="Matern_Matern",
+                      model="Gaussian",method="CE",param=param)$data
> dim(data)
[1] 101 100
> 
> ################################################################
> ###
> ### Example 5. Simulation of a large spacetime Gaussian RF 
> ###            with separable GenWend covariance model
> ###            using  Circular embeeding method in time
> ###############################################################
> set.seed(68)
> # Simulation of a spatial Gaussian RF with Matern correlation function
> param<-list(nugget=0,mean=0,scale_s=0.2,scale_t=3,sill=1,
+              smooth_s=0,smooth_t=0, power2_s=4,power2_t=4)
> 
> data <- GeoSimapprox(coordx=coords, coordt=coordt, corrmodel="GenWend_GenWend",
+                      model="Gaussian",method="CE",param=param)$data
> dim(data)
[1] 101 100
> 
> 
> 
> ################################################################
> ###
> ### Example 6. Simulation of a  large bivariate Gaussian RF
> ### with  bivariate Matern correlation model using TB method
> ###
> ###############################################################
> 
> # Define the spatial-coordinates of the points:
> x <- runif(1500, 0, 2)
> y <- runif(1500, 0, 2)
> coords <- cbind(x,y)
> 
> # Simulation of a bivariate spatial Gaussian RF:
> # with a separable Bivariate Matern
> set.seed(12)
> param=list(mean_1=4,mean_2=2,smooth_1=0.5,smooth_2=0.5,smooth_12=0.5,
+            scale_1=0.12,scale_2=0.1,scale_12=0.15,
+            sill_1=1,sill_2=1,nugget_1=0,nugget_2=0,pcol=0.5)
> data <- GeoSimapprox(coordx=coords,corrmodel="Bi_matern",
+               param=param)$data
* checking PDF version of manual ... [16s] OK
* checking HTML version of manual ... [13s] OK
* DONE
Status: 1 ERROR, 1 NOTE