Last updated on 2025-04-04 12:52:24 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 3.6 | 55.27 | 400.59 | 455.86 | OK | |
| r-devel-linux-x86_64-debian-gcc | 3.6 | 39.88 | 290.90 | 330.78 | OK | |
| r-devel-linux-x86_64-fedora-clang | 3.6 | 799.53 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 3.6 | 738.15 | ERROR | |||
| r-devel-macos-arm64 | 3.6 | 648.00 | OK | |||
| r-devel-macos-x86_64 | 3.6 | 436.00 | OK | |||
| r-devel-windows-x86_64 | 3.6 | 34.00 | 245.00 | 279.00 | OK | |
| r-patched-linux-x86_64 | 3.6 | 50.39 | 381.97 | 432.36 | OK | |
| r-release-linux-x86_64 | 3.6 | 50.01 | 376.92 | 426.93 | OK | |
| r-release-macos-arm64 | 3.6 | 294.00 | OK | |||
| r-release-macos-x86_64 | 3.6 | 293.00 | OK | |||
| r-release-windows-x86_64 | 3.6 | 32.00 | 241.00 | 273.00 | OK | |
| r-oldrel-macos-arm64 | 3.6 | OK | ||||
| r-oldrel-macos-x86_64 | 3.6 | 265.00 | OK | |||
| r-oldrel-windows-x86_64 | 3.6 | 42.00 | 322.00 | 364.00 | OK |
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-gcc