CRAN Package Check Results for Package allan

Last updated on 2015-08-03 17:47:28.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.01 0.90 18.61 19.51 NOTE
r-devel-linux-x86_64-debian-gcc 1.01 0.77 18.23 19.00 NOTE
r-devel-linux-x86_64-fedora-clang 1.01 39.53 NOTE
r-devel-linux-x86_64-fedora-gcc 1.01 38.35 NOTE
r-devel-osx-x86_64-clang 1.01 41.95 NOTE
r-devel-windows-ix86+x86_64 1.01 3.00 49.00 52.00 NOTE
r-patched-linux-x86_64 1.01 0.90 21.12 22.03 NOTE
r-patched-solaris-sparc 1.01 274.10 NOTE
r-patched-solaris-x86 1.01 63.90 NOTE
r-release-linux-x86_64 1.01 0.80 20.39 21.19 NOTE
r-release-osx-x86_64-mavericks 1.01 NOTE
r-release-windows-ix86+x86_64 1.01 4.00 37.00 41.00 NOTE
r-oldrel-windows-ix86+x86_64 1.01 5.00 45.00 50.00 NOTE

Check Details

Version: 1.01
Check: DESCRIPTION meta-information
Result: NOTE
    Malformed Description field: should contain one or more complete sentences.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-osx-x86_64-clang, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-sparc, r-patched-solaris-x86, r-release-linux-x86_64, r-release-osx-x86_64-mavericks, r-release-windows-ix86+x86_64

Version: 1.01
Check: R code for possible problems
Result: NOTE
    allanVarSelect: no visible global function definition for ‘read.csv’
    fitvbiglm: no visible global function definition for ‘read.csv’
    fitvbiglm: no visible global function definition for ‘update’
    getbestchunksize: no visible global function definition for ‘read.csv’
    getbestchunksize: no visible global function definition for
     ‘object.size’
    predictvbiglm: no visible global function definition for ‘read.csv’
    predictvbiglm: no visible global function definition for ‘predict’
    predictvbiglm: no visible global function definition for
     ‘weighted.mean’
    readinbigdata : <anonymous>: no visible global function definition for
     ‘read.csv’
    Undefined global functions or variables:
     object.size predict read.csv update weighted.mean
    Consider adding
     importFrom("stats", "predict", "update", "weighted.mean")
     importFrom("utils", "object.size", "read.csv")
    to your NAMESPACE.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64

Version: 1.01
Check: Rd files
Result: NOTE
    prepare_Rd: allan-package.Rd:49-51: Dropping empty section \seealso
    prepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \details
    prepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \references
    prepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \seealso
    prepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \details
    prepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \note
    prepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \references
    prepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \seealso
    prepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \details
    prepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \note
    prepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \references
    prepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \seealso
    prepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \details
    prepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \note
    prepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \references
    prepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \seealso
    prepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \note
    prepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \seealso
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-osx-x86_64-clang, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-sparc, r-patched-solaris-x86, r-release-linux-x86_64, r-release-osx-x86_64-mavericks, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 1.01
Check: Rd line widths
Result: NOTE
    Rd file 'allan-package.Rd':
     \examples lines wider than 100 characters:
     bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)
    
    Rd file 'allanVarSelect.Rd':
     \usage lines wider than 90 characters:
     allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = "AIC", currentchunksize = -1, si ... [TRUNCATED]
     \examples lines wider than 100 characters:
     bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)
    
    Rd file 'fitvbiglm.Rd':
     \usage lines wider than 90 characters:
     fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)
     \examples lines wider than 100 characters:
     bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)
    
    Rd file 'getbestchunksize.Rd':
     \usage lines wider than 90 characters:
     getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)
     \examples lines wider than 100 characters:
     #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory
     #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead
    
    Rd file 'predictvbiglm.Rd':
     \usage lines wider than 90 characters:
     predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]
     \examples lines wider than 100 characters:
     bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)
     predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]
     currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]
     weightvector<-as.vector(eval(parse(text=paste("CurrentDataSet","$",weightname,sep=""))))
     CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)
    
    Rd file 'readinbigdata.Rd':
     \examples lines wider than 100 characters:
     #The return value is either the next chunk of data or NULL if there is no additional data left.
     #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.
    
    These lines will be truncated in the PDF manual.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-linux-x86_64, r-release-linux-x86_64