CRAN Package Check Results for Maintainer ‘Alexander Robitzsch <robitzsch at ipn.uni-kiel.de>’

Last updated on 2020-08-07 01:50:31 CEST.

Package ERROR NOTE OK
BIFIEsurvey 5 7
immer 2 10
LAM 12
miceadds 3 9
mnlfa 12
pbv 12
sirt 1 5 6
STARTS 12
TAM 3 9

Package BIFIEsurvey

Current CRAN status: NOTE: 5, OK: 7

Version: 3.3-12
Check: installed package size
Result: NOTE
     installed size is 13.0Mb
     sub-directories of 1Mb or more:
     data 1.4Mb
     libs 11.1Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-ix86+x86_64, r-release-macos-x86_64, r-release-windows-ix86+x86_64, r-oldrel-macos-x86_64

Package immer

Current CRAN status: NOTE: 2, OK: 10

Version: 1.1-35
Check: installed package size
Result: NOTE
     installed size is 6.8Mb
     sub-directories of 1Mb or more:
     libs 5.9Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-release-macos-x86_64

Version: 1.1-35
Check: Rd cross-references
Result: NOTE
    Undeclared package ‘mirt’ in Rd xrefs
Flavor: r-devel-linux-x86_64-fedora-clang

Package LAM

Current CRAN status: OK: 12

Package miceadds

Current CRAN status: NOTE: 3, OK: 9

Version: 3.10-28
Check: installed package size
Result: NOTE
     installed size is 8.5Mb
     sub-directories of 1Mb or more:
     libs 6.9Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-release-macos-x86_64, r-oldrel-macos-x86_64

Package mnlfa

Current CRAN status: OK: 12

Package pbv

Current CRAN status: OK: 12

Package sirt

Current CRAN status: ERROR: 1, NOTE: 5, OK: 6

Version: 3.9-4
Check: installed package size
Result: NOTE
     installed size is 12.4Mb
     sub-directories of 1Mb or more:
     R 1.9Mb
     libs 8.5Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-ix86+x86_64, r-release-macos-x86_64, r-release-windows-ix86+x86_64, r-oldrel-macos-x86_64, r-oldrel-windows-ix86+x86_64

Version: 3.9-4
Check: dependencies in R code
Result: NOTE
    No protocol specified
    No protocol specified
Flavor: r-oldrel-macos-x86_64

Version: 3.9-4
Check: running examples for arch ‘i386’
Result: ERROR
    Running examples in 'sirt-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: f1d.irt
    > ### Title: Functional Unidimensional Item Response Model
    > ### Aliases: f1d.irt
    >
    > ### ** Examples
    >
    > #############################################################################
    > # EXAMPLE 1: Dataset Mathematics data.math | Exploratory multidimensional model
    > #############################################################################
    > data(data.math)
    > dat <- ( data.math$data )[, -c(1,2) ] # select Mathematics items
    >
    > #****
    > # Model 1: Functional unidimensional model based on original data
    >
    > #++ (1) estimate model with 3 factors
    > mod1 <- sirt::f1d.irt( dat=dat, nfactors=3)
    *** Estimate tetrachoric correlation
    Iteration 1 | Approximation error = 0.27408 | Max. parameter change = 4.68309
    Iteration 2 | Approximation error = 0.22335 | Max. parameter change = 1.27014
    Iteration 3 | Approximation error = 0.22003 | Max. parameter change = 0.30784
    Iteration 4 | Approximation error = 0.21984 | Max. parameter change = 0.07312
    Iteration 5 | Approximation error = 0.21983 | Max. parameter change = 0.01753
    Iteration 6 | Approximation error = 0.21983 | Max. parameter change = 0.00422
    Iteration 7 | Approximation error = 0.21983 | Max. parameter change = 0.00101
    Iteration 8 | Approximation error = 0.21983 | Max. parameter change = 0.00024
    Iteration 9 | Approximation error = 0.21983 | Max. parameter change = 6e-05
    Iteration 10 | Approximation error = 0.21983 | Max. parameter change = 1e-05
    Iteration 11 | Approximation error = 0.21983 | Max. parameter change = 0
    >
    > #++ (2) plot results
    > par(mfrow=c(1,2))
    > # Intercepts
    > plot( mod1$item$di0, mod1$item$di.ast, pch=16, main="Item Intercepts",
    + xlab=expression( paste( d[i], " (Unidimensional Model)" )),
    + ylab=expression( paste( d[i], " (Functional Unidimensional Model)" )))
    > abline( lm(mod1$item$di.ast ~ mod1$item$di0), col=2, lty=2 )
    > # Discriminations
    > plot( mod1$item$ai0, mod1$item$ai.ast, pch=16, main="Item Discriminations",
    + xlab=expression( paste( a[i], " (Unidimensional Model)" )),
    + ylab=expression( paste( a[i], " (Functional Unidimensional Model)" )))
    > abline( lm(mod1$item$ai.ast ~ mod1$item$ai0), col=2, lty=2 )
    > par(mfrow=c(1,1))
    >
    > #++ (3) estimate bifactor model and Green-Yang reliability
    > gy1 <- sirt::greenyang.reliability( mod1$tetra, nfactors=3 )
    Reliability Estimation Based on a Nonlinear SEM
    
    Green & Yang (2009, Psychometrika). Reliability of summed item scores
     using structural equation modeling: An alternative to coefficient alpha
    
    Omega_h for 1 factor is not meaningful, just omega_t
    Warning in schmid(m, nfactors, fm, digits, rotate = rotate, n.obs = n.obs, :
     Omega_h and Omega_asymptotic are not meaningful with one factor
    Error in nchar(tv[1, 21]) : 'nchar()' requires a character vector
    Calls: <Anonymous> ... <Anonymous> -> omegah -> omega.diagram -> multi.arrow
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 3.9-4
Check: running examples for arch ‘x64’
Result: ERROR
    Running examples in 'sirt-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: f1d.irt
    > ### Title: Functional Unidimensional Item Response Model
    > ### Aliases: f1d.irt
    >
    > ### ** Examples
    >
    > #############################################################################
    > # EXAMPLE 1: Dataset Mathematics data.math | Exploratory multidimensional model
    > #############################################################################
    > data(data.math)
    > dat <- ( data.math$data )[, -c(1,2) ] # select Mathematics items
    >
    > #****
    > # Model 1: Functional unidimensional model based on original data
    >
    > #++ (1) estimate model with 3 factors
    > mod1 <- sirt::f1d.irt( dat=dat, nfactors=3)
    *** Estimate tetrachoric correlation
    Iteration 1 | Approximation error = 0.27408 | Max. parameter change = 4.68309
    Iteration 2 | Approximation error = 0.22335 | Max. parameter change = 1.27014
    Iteration 3 | Approximation error = 0.22003 | Max. parameter change = 0.30784
    Iteration 4 | Approximation error = 0.21984 | Max. parameter change = 0.07312
    Iteration 5 | Approximation error = 0.21983 | Max. parameter change = 0.01753
    Iteration 6 | Approximation error = 0.21983 | Max. parameter change = 0.00422
    Iteration 7 | Approximation error = 0.21983 | Max. parameter change = 0.00101
    Iteration 8 | Approximation error = 0.21983 | Max. parameter change = 0.00024
    Iteration 9 | Approximation error = 0.21983 | Max. parameter change = 6e-05
    Iteration 10 | Approximation error = 0.21983 | Max. parameter change = 1e-05
    Iteration 11 | Approximation error = 0.21983 | Max. parameter change = 0
    >
    > #++ (2) plot results
    > par(mfrow=c(1,2))
    > # Intercepts
    > plot( mod1$item$di0, mod1$item$di.ast, pch=16, main="Item Intercepts",
    + xlab=expression( paste( d[i], " (Unidimensional Model)" )),
    + ylab=expression( paste( d[i], " (Functional Unidimensional Model)" )))
    > abline( lm(mod1$item$di.ast ~ mod1$item$di0), col=2, lty=2 )
    > # Discriminations
    > plot( mod1$item$ai0, mod1$item$ai.ast, pch=16, main="Item Discriminations",
    + xlab=expression( paste( a[i], " (Unidimensional Model)" )),
    + ylab=expression( paste( a[i], " (Functional Unidimensional Model)" )))
    > abline( lm(mod1$item$ai.ast ~ mod1$item$ai0), col=2, lty=2 )
    > par(mfrow=c(1,1))
    >
    > #++ (3) estimate bifactor model and Green-Yang reliability
    > gy1 <- sirt::greenyang.reliability( mod1$tetra, nfactors=3 )
    Reliability Estimation Based on a Nonlinear SEM
    
    Green & Yang (2009, Psychometrika). Reliability of summed item scores
     using structural equation modeling: An alternative to coefficient alpha
    
    Omega_h for 1 factor is not meaningful, just omega_t
    Warning in schmid(m, nfactors, fm, digits, rotate = rotate, n.obs = n.obs, :
     Omega_h and Omega_asymptotic are not meaningful with one factor
    Error in nchar(tv[1, 21]) : 'nchar()' requires a character vector
    Calls: <Anonymous> ... <Anonymous> -> omegah -> omega.diagram -> multi.arrow
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Package STARTS

Current CRAN status: OK: 12

Package TAM

Current CRAN status: NOTE: 3, OK: 9

Version: 3.5-19
Check: installed package size
Result: NOTE
     installed size is 7.9Mb
     sub-directories of 1Mb or more:
     R 1.3Mb
     libs 5.6Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-release-macos-x86_64, r-oldrel-macos-x86_64

Version: 3.5-19
Check: Rd cross-references
Result: NOTE
    Undeclared package ‘mirt’ in Rd xrefs
Flavor: r-devel-linux-x86_64-fedora-clang