CRAN Package Check Results for Package CensSpatial

Last updated on 2023-03-28 03:53:57 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.6 48.05 407.30 455.35 OK
r-devel-linux-x86_64-debian-gcc 3.6 39.01 298.68 337.69 OK
r-devel-linux-x86_64-fedora-clang 3.6 2334.24 ERROR
r-devel-linux-x86_64-fedora-gcc 3.6 541.27 NOTE
r-patched-linux-x86_64 3.6 44.11 391.19 435.30 OK
r-release-linux-x86_64 3.6 64.91 467.53 532.44 OK
r-release-macos-arm64 3.6 263.00 OK
r-release-macos-x86_64 3.6 517.00 OK
r-release-windows-x86_64 3.6 53.00 358.00 411.00 OK
r-oldrel-macos-arm64 3.6 162.00 OK
r-oldrel-macos-x86_64 3.6 262.00 OK
r-oldrel-windows-ix86+x86_64 3.6 81.00 338.00 419.00 OK

Check Details

Version: 3.6
Check: dependencies in R code
Result: NOTE
    Namespace in Imports field not imported from: ‘Rcpp’
     All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 3.6
Check: examples
Result: ERROR
    Running examples in ‘CensSpatial-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: algnaive12
    > ### Title: Naive 1 and Naive 2 method for spatial prediction.
    > ### Aliases: algnaive12
    > ### Keywords: Spatial Censored SAEM
    >
    > ### ** Examples
    >
    > ###simulated coordinates
    > n<-200 ### sample size for estimation.
    > n1=100 ### number of observation used in the prediction.
    >
    > ###simulated coordinates
    > r1=sample(seq(1,30,length=400),n+n1)
    > r2=sample(seq(1,30,length=400),n+n1)
    > coords=cbind(r1,r2)### total coordinates (used in estimation and prediction).
    >
    > coords1=coords[1:n,]####coordinates used for estimation.
    >
    > type="matern"### covariance structure.
    >
    > xtot<-cbind(1,runif((n+n1)),runif((n+n1),2,3))## X matrix for estimation and prediction.
    > xobs=xtot[1:n,]## X matrix for estimation.
    >
    > ###simulated data
    > obj=rspacens(cov.pars=c(3,.3,0),beta=c(5,3,1),x=xtot,coords=coords,kappa=1.2,
    + cens=0.25,n=(n+n1),n1=n1,cov.model=type,cens.type="left")
    >
    > data2=obj$datare
    > data2[,4:5]=xobs[,-1]
    >
    > cc=obj$cc
    > y=obj$datare[,3]
    > cutoff=rep(obj$cutoff,length(y[cc==1]))
    >
    >
    > aux2=algnaive12(data=data2,cc=obj$cc,covar=TRUE,covar.col=4:5,
    + copred=obj$coords1,thetaini=c(.1,.2),y.col=3,coords.col=1:2,
    + fix.nugget=TRUE,nugget=0,kappa=1.2,cutoff=cutoff,trend=~V4+V5,
    + cov.model=type)
Flavor: r-devel-linux-x86_64-fedora-clang