[R] A new version (1.2.0) of the “spm” package for spatial predictive modelling is now on CRAN. [SEC=UNCLASSIFIED]

Dear R users, A new version (1.2.0) of the “spm” package for spatial predictive modelling is now available on CRAN. The introductory vignette is available here: https://cran.rstudio.com/web/packages/spm/vignettes/spm.html In this version, two additional functions, avi and rvi have been a

[R] xgboost: problems with predictions for count data [SEC=UNCLASSIFIED]

Hi All, I tried to use xgboost to model and predict count data. The predictions are however not as expected as shown below. # sponge count data in library(spm) library(spm) data(sponge) data(sponge.grid) names(sponge) [1] "easting" "northing" "sponge" "tpi3" "var7" "entro7" "bs34

[R] A new version (1.1.0) of the “spm” package for spatial predictive modelling reelased on CRAN [SEC=UNCLASSIFIED]

Dear R users, A new version (1.1.0) of the “spm” package for spatial predictive modelling is now available on CRAN. The introductory vignette is available here: https://cran.rstudio.com/web/packages/spm/vignettes/spm.html There are several new enhancements to the package including a fas

[R] FW: Predictive accuracy measures in a recently released R package, spm: Spatial Predictive Modelling [SEC=UNCLASSIFIED]

Hi All, Just thought you might be interested in a recently released R package, spm: Spatial Predictive Modelling. It aims to introduce some novel, accurate, hybrid geostatistical and machine learning methods for spatial predictive modelling. Of 22 functions available in spm, two functions ar

Re: [R] [DKIM] Batch Installer for R [SEC=UNCLASSIFIED]

Hi Tobias, Here is something I acquired from this mailing list some years ago. It works well for me: #---run in previous version (e.g. R 3.1.0) packages <- installed.packages()[,"Package"] save(packages, file="Rpackages_R3.1.0") #---run in new version load("Rpackages_R3.1.0") for (p in setdiff(