CRAN Package Check Results for Maintainer ‘Arne Henningsen <arne.henningsen at gmail.com>’

Last updated on 2020-08-07 01:50:12 CEST.

Package ERROR NOTE OK
censReg 1 1 10
frontier 12
linprog 12
micEcon 1 11
micEconAids 12
micEconCES 12
micEconIndex 12
micEconSNQP 12
miscTools 1 11
sampleSelection 12
systemfit 1 11

Package censReg

Current CRAN status: ERROR: 1, NOTE: 1, OK: 10

Version: 0.5-30
Check: tests
Result: ERROR
     Running 'censRegFail.R' [2s/2s]
     Comparing 'censRegFail.Rout' to 'censRegFail.Rout.save' ... OK
     Running 'censRegPanelLargerTest.R' [4s/5s]
     Comparing 'censRegPanelLargerTest.Rout' to 'censRegPanelLargerTest.Rout.save' ... OK
     Running 'censRegPanelTest.R' [2s/3s]
     Running 'censRegTest.R' [11s/13s]
     Comparing 'censRegTest.Rout' to 'censRegTest.Rout.save' ...775,782d774
    < SGA_momentum = 0
    < Adam_momentum1 = 0.9
    < Adam_momentum2 = 0.999
    < SG_patience =
    < SG_patienceStep = 1
    < SG_learningRate = 0.1
    < SG_batchSize =
    < SG_clip =
    784,785d775
    < max.rows = 20
    < max.cols = 7
    787,788d776
    < storeValues = FALSE
    < storeParameters = FALSE
    2475,2482d2462
    < SGA_momentum = 0
    < Adam_momentum1 = 0.9
    < Adam_momentum2 = 0.999
    < SG_patience =
    < SG_patienceStep = 1
    < SG_learningRate = 0.1
    < SG_batchSize =
    < SG_clip =
    2484,2485d2463
    < max.rows = 20
    < max.cols = 7
    2487,2488d2464
    < storeValues = FALSE
    < storeParameters = FALSE
    3351,3358d3326
    < SGA_momentum = 0
    < Adam_momentum1 = 0.9
    < Adam_momentum2 = 0.999
    < SG_patience =
    < SG_patienceStep = 1
    < SG_learningRate = 0.1
    < SG_batchSize =
    < SG_clip =
    3360,3361d3327
    < max.rows = 20
    < max.cols = 7
    3363,3364d3328
    < storeValues = FALSE
    < storeParameters = FALSE
    4202,4209d4165
    < SGA_momentum = 0
    < Adam_momentum1 = 0.9
    < Adam_momentum2 = 0.999
    < SG_patience =
    < SG_patienceStep = 1
    < SG_learningRate = 0.1
    < SG_batchSize =
    < SG_clip =
    4211,4212d4166
    < max.rows = 20
    < max.cols = 7
    4214,4215d4167
    < storeValues = FALSE
    < storeParameters = FALSE
    5060,5067d5011
    < SGA_momentum = 0
    < Adam_momentum1 = 0.9
    < Adam_momentum2 = 0.999
    < SG_patience =
    < SG_patienceStep = 1
    < SG_learningRate = 0.1
    < SG_batchSize =
    < SG_clip =
    5069,5070d5012
    < max.rows = 20
    < max.cols = 7
    5072,5073d5013
    < storeValues = FALSE
    < storeParameters = FALSE
    5916,5923d5855
    < SGA_momentum = 0
    < Adam_momentum1 = 0.9
    < Adam_momentum2 = 0.999
    < SG_patience =
    < SG_patienceStep = 1
    < SG_learningRate = 0.1
    < SG_batchSize =
    < SG_clip =
    5925,5926d5856
    < max.rows = 20
    < max.cols = 7
    5928,5929d5857
    < storeValues = FALSE
    < storeParameters = FALSE
    6783,6790d6710
    < SGA_momentum = 0
    < Adam_momentum1 = 0.9
    < Adam_momentum2 = 0.999
    < SG_patience =
    < SG_patienceStep = 1
    < SG_learningRate = 0.1
    < SG_batchSize =
    < SG_clip =
    6792,6793d6711
    < max.rows = 20
    < max.cols = 7
    6795,6796d6712
    < storeValues = FALSE
    < storeParameters = FALSE
    7696,7703d7611
    < SGA_momentum = 0
    < Adam_momentum1 = 0.9
    < Adam_momentum2 = 0.999
    < SG_patience =
    < SG_patienceStep = 1
    < SG_learningRate = 0.1
    < SG_batchSize =
    < SG_clip =
    7705,7706d7612
    < max.rows = 20
    < max.cols = 7
    7708,7709d7613
    < storeValues = FALSE
    < storeParameters = FALSE
    9218,9225d9121
    < SGA_momentum = 0
    < Adam_momentum1 = 0.9
    < Adam_momentum2 = 0.999
    < SG_patience =
    < SG_patienceStep = 1
    < SG_learningRate = 0.1
    < SG_batchSize =
    < SG_clip =
    9227,9228d9122
    < max.rows = 20
    < max.cols = 7
    9230,9231d9123
    < storeValues = FALSE
    < storeParameters = FALSE
    10133,10140d10024
    < SGA_momentum = 0
    < Adam_momentum1 = 0.9
    < Adam_momentum2 = 0.999
    < SG_patience =
    < SG_patienceStep = 1
    < SG_learningRate = 0.1
    < SG_batchSize =
    < SG_clip =
    10142,10143d10025
    < max.rows = 20
    < max.cols = 7
    10145,10146d10026
    < storeValues = FALSE
    < storeParameters = FALSE
    11671,11678d11550
    < SGA_momentum = 0
    < Adam_momentum1 = 0.9
    < Adam_momentum2 = 0.999
    < SG_patience =
    < SG_patienceStep = 1
    < SG_learningRate = 0.1
    < SG_batchSize =
    < SG_clip =
    11680,11681d11551
    < max.rows = 20
    < max.cols = 7
    11683,11684d11552
    < storeValues = FALSE
    < storeParameters = FALSE
    Running the tests in 'tests/censRegPanelTest.R' failed.
    Complete output:
     > library( "censReg" )
     Loading required package: maxLik
     Loading required package: miscTools
    
     Please cite the 'maxLik' package as:
     Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1.
    
     If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site:
     https://r-forge.r-project.org/projects/maxlik/
    
     Please cite the 'censReg' package as:
     Henningsen, Arne (2017). censReg: Censored Regression (Tobit) Models. R package version 0.5. http://CRAN.R-Project.org/package=censReg.
    
     If you have questions, suggestions, or comments regarding the 'censReg' package, please use a forum or 'tracker' at the R-Forge site of the 'sampleSelection' project:
     https://r-forge.r-project.org/projects/sampleselection/
     > library( "plm" )
     >
     > # load outputs that were previously produced by this script
     > saved <- new.env()
     > load( "censRegPanelTest.RData.save", envir = saved )
     >
     > options( digits = 5 )
     >
     > printAll <- function( objName, what = "print" ) {
     + cat( "Comparing new object '", objName, "' to previously saved object...",
     + sep = "" )
     + x <- get( objName )
     + if( !exists( objName, envir = saved, inherits = FALSE ) ) {
     + cat( " previously saved object not found\n" )
     + } else {
     + xSaved <- get( objName, envir = saved, inherits = FALSE )
     + if( !isTRUE( all.equal( class( x ), class( xSaved ) ) ) ) {
     + cat( " different classes:\n" )
     + cat( "new:\n" )
     + print( class( x ) )
     + cat( "saved:\n" )
     + print( class( xSaved ) )
     + } else if( !isTRUE( all.equal( names( x ), names( xSaved ) ) ) ) {
     + cat( " different names:\n" )
     + cat( "new:\n" )
     + print( names( x ) )
     + cat( "saved:\n" )
     + print( names( xSaved ) )
     + } else {
     + cat( "\n" )
     + }
     + for( n in names( x ) ) {
     + if( ! n %in% c( "code", "gradient", "iterations", "last.step",
     + "message" ) ) {
     + cat( " comparing component '", n, "' ...", sep = "" )
     + if( n == "vcov" ) {
     + tol <- 5e-1
     + } else if( n == "estimate" ) {
     + tol <- 5e-2
     + } else {
     + tol <- 5e-3
     + }
     + testRes <- all.equal( x[[ n ]], xSaved[[ n ]], tol = tol )
     + if( isTRUE( testRes ) ) {
     + cat( " OK\n" )
     + } else {
     + cat( " different\n" )
     + print( testRes )
     + cat( "new:\n" )
     + print( x[[ n ]] )
     + cat( "saved:\n" )
     + print( xSaved[[ n ]] )
     + }
     + }
     + }
     + }
     +
     + for( mName in c( "Coef", "CoefNoLs", "Vcov", "VcovNoLs",
     + "CoefSum", "CoefSumNoLs", "LogLik", "Nobs", "ExtractAIC" ) ) {
     + cat( " comparing method '", mName, "' ...", sep = "" )
     + tol <- 5e-3
     + if( mName == "Coef" ) {
     + xm <- coef( x )
     + tol <- 5e-2
     + } else if( mName == "CoefNoLs" ) {
     + xm <- coef( x, logSigma = FALSE )
     + tol <- 5e-2
     + } else if( mName == "Vcov" ) {
     + xm <- vcov( x )
     + tol <- 5e-1
     + } else if( mName == "VcovNoLs" ) {
     + xm <- vcov( x, logSigma = FALSE )
     + tol <- 5e-1
     + } else if( mName == "CoefSum" ) {
     + xm <- coef( summary( x ) )
     + tol <- 5e-2
     + } else if( mName == "CoefSumNoLs" ) {
     + xm <- coef( summary( x ), logSigma = FALSE )
     + tol <- 5e-2
     + } else if( mName == "LogLik" ) {
     + xm <- logLik( x )
     + } else if( mName == "Nobs" ) {
     + xm <- nobs( x )
     + } else if( mName == "ExtractAIC" ) {
     + xm <- extractAIC( x )
     + } else {
     + stop( "unknown value of 'mName': ", mName )
     + }
     + methodObjName <- paste0( objName, mName )
     + if( !exists( methodObjName, envir = saved, inherits = FALSE ) ) {
     + cat( " previously saved object not found\n" )
     + } else {
     + xmSaved <- get( methodObjName, envir = saved, inherits = FALSE )
     + testRes <- all.equal( xm, xmSaved, tol = tol )
     + if( isTRUE( testRes ) ) {
     + cat( " OK\n" )
     + } else {
     + cat( " different\n" )
     + print( testRes )
     + cat( "new:\n" )
     + print( xm )
     + cat( "saved:\n" )
     + print( xmSaved )
     + }
     + }
     + # assign to parent frame so that it will be included in the saved workspace
     + assign( methodObjName, xm, envir = parent.frame() )
     + }
     +
     + if( what %in% c( "print", "methods", "all" ) ) {
     + print( x, digits = 1 )
     + print( x, logSigma = FALSE , digits = 1 )
     + print( maxLik:::summary.maxLik( x ), digits = 1 )
     + print( summary( x ), digits = 1 )
     + print( summary( x ), logSigma = FALSE , digits = 1 )
     + }
     + if( what %in% c( "methods", "all" ) ) {
     + print( round( coef( x ), 2 ) )
     + print( round( coef( x, logSigma = FALSE ), 2 ) )
     + print( round( vcov( x ), 2 ) )
     + print( round( vcov( x, logSigma = FALSE ), 2 ) )
     + print( round( coef( summary( x ) ), 2 ) )
     + print( round( coef( summary( x ), logSigma = FALSE ), 2 ) )
     + try( margEff( x ) )
     + print( logLik( x ) )
     + print( nobs( x ) )
     + print( extractAIC( x ) )
     + }
     +
     + if( what == "all" ) {
     + for( n in names( x ) ) {
     + cat( "$", n, "\n", sep = "" )
     + if( n %in% c( "estimate", "gradientObs" ) ) {
     + print( round( x[[ n ]], 2 ) )
     + } else if( n %in% c( "hessian" ) ) {
     + print( round( x[[ n ]], 1 ) )
     + } else if( n %in% c( "gradient" ) ) {
     + } else if( ! n %in% c( "last.step" ) ) {
     + print( x[[ n ]] )
     + }
     + cat( "\n" )
     + }
     + cat( "class\n" )
     + print( class( x ) )
     + }
     + }
     >
     > nId <- 15
     > nTime <- 4
     >
     > set.seed( 123 )
     > pData <- data.frame(
     + id = rep( paste( "F", 1:nId, sep = "_" ), each = nTime ),
     + time = rep( 1980 + 1:nTime, nId ) )
     > pData$ui <- rep( rnorm( nId ), each = nTime )
     > pData$x1 <- rnorm( nId * nTime )
     > pData$x2 <- runif( nId * nTime )
     > pData$ys <- -1 + pData$ui + 2 * pData$x1 + 3 * pData$x2 + rnorm( nId * nTime )
     > pData$y <- ifelse( pData$ys > 0, pData$ys, 0 )
     > nData <- pData # save data set without information on panel structure
     > pData <- pdata.frame( pData, c( "id", "time" ) )
     >
     >
     > ## Newton-Raphson method
     > randEff <- censReg( y ~ x1 + x2, data = pData )
     > printAll( "randEff" )
     Comparing new object 'randEff' to previously saved object...
     comparing component 'maximum' ... OK
     comparing component 'estimate' ... OK
     comparing component 'hessian' ... OK
     comparing component 'fixed' ... OK
     comparing component 'type' ... OK
     comparing component 'gradientObs' ... OK
     comparing component 'control' ... different
     [1] "Attributes: < Names: 20 string mismatches >"
     [2] "Attributes: < Length mismatch: comparison on first 20 components >"
     [3] "Attributes: < Component 1: Modes: numeric, character >"
     [4] "Attributes: < Component 1: Attributes: < target is NULL, current is list > >"
     [5] "Attributes: < Component 1: target is numeric, current is character >"
     [6] "Attributes: < Component 2: Mean relative difference: 1 >"
     [7] "Attributes: < Component 3: Mean absolute difference: 150 >"
     [8] "Attributes: < Component 4: Modes of target, current: name, numeric >"
     [9] "Attributes: < Component 4: target, current do not match when deparsed >"
     [10] "Attributes: < Component 5: Modes of target, current: name, numeric >"
     [11] "Attributes: < Component 5: target, current do not match when deparsed >"
     [12] "Attributes: < Component 6: Mean relative difference: 19 >"
     [13] "Attributes: < Component 7: Modes of target, current: name, numeric >"
     [14] "Attributes: < Component 7: target, current do not match when deparsed >"
     [15] "Attributes: < Component 9: Modes: character, numeric >"
     [16] "Attributes: < Component 9: Attributes: < Modes: list, NULL > >"
     [17] "Attributes: < Component 9: Attributes: < Lengths: 1, 0 > >"
     [18] "Attributes: < Component 9: Attributes: < names for target but not for current > >"
     [19] "Attributes: < Component 9: Attributes: < current is not list-like > >"
     [20] "Attributes: < Component 9: target is character, current is numeric >"
     [21] "Attributes: < Component 10: Mean absolute difference: 2 >"
     [22] "Attributes: < Component 11: Mean relative difference: 1 >"
     [23] "Attributes: < Component 12: Modes: numeric, character >"
     [24] "Attributes: < Component 12: target is numeric, current is character >"
     [25] "Attributes: < Component 13: Mean relative difference: 1 >"
     [26] "Attributes: < Component 14: Mean relative difference: 1 >"
     [27] "Attributes: < Component 15: Modes: numeric, name >"
     [28] "Attributes: < Component 15: target is numeric, current is name >"
     [29] "Attributes: < Component 16: Mean relative difference: 16.571 >"
     [30] "Attributes: < Component 17: Mean relative difference: 0.5 >"
     [31] "Attributes: < Component 18: Mean relative difference: 9 >"
     [32] "Attributes: < Component 19: Mean relative difference: 1 >"
     [33] "Attributes: < Component 20: Mean relative difference: 1 >"
     new:
     A 'MaxControl' object with slots:
     tol = 1e-08
     reltol = 1.4901e-08
     gradtol = 1e-06
     steptol = 1e-10
     lambdatol = 1e-06
     qrtol = 1e-10
     qac = stephalving
     marquardt_lambda0 = 0.01
     marquardt_lambdaStep = 2
     marquardt_maxLambda = 1e+12
     nm_alpha = 1
     nm_beta = 0.5
     nm_gamma = 2
     sann_cand = <default Gaussian Markov kernel>
     sann_temp = 10
     sann_tmax = 10
     sann_randomSeed = 123
     SGA_momentum = 0
     Adam_momentum1 = 0.9
     Adam_momentum2 = 0.999
     SG_patience =
     SG_patienceStep = 1
     SG_learningRate = 0.1
     SG_batchSize =
     SG_clip =
     iterlim = 150
     max.rows = 20
     max.cols = 7
     printLevel = 0
     storeValues = FALSE
     storeParameters = FALSE
     saved:
     A 'MaxControl' object with slots:
     tol = 1e-08
     reltol = 1.4901e-08
     gradtol = 1e-06
     steptol = 1e-10
     lambdatol = 1e-06
     qrtol = 1e-10
     qac = stephalving
     marquardt_lambda0 = 0.01
     marquardt_lambdaStep = 2
     marquardt_maxLambda = 1e+12
     nm_alpha = 1
     nm_beta = 0.5
     nm_gamma = 2
     sann_cand = <default Gaussian Markov kernel>
     sann_temp = 10
     sann_tmax = 10
     sann_randomSeed = 123
     Error in slot(object, s) :
     no slot of name "SGA_momentum" for this object of class "MaxControl"
     Calls: printAll ... print.default -> <Anonymous> -> <Anonymous> -> cat -> slot
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.5-32
Check: Rd cross-references
Result: NOTE
    Undeclared package ‘sampleSelection’ in Rd xrefs
Flavor: r-devel-linux-x86_64-fedora-clang

Package frontier

Current CRAN status: OK: 12

Package linprog

Current CRAN status: NOTE: 12

Version: 0.9-2
Check: top-level files
Result: NOTE
    Non-standard file/directory found at top level:
     'pkg.Rproj'
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

Version: 0.9-2
Check: dependencies in R code
Result: NOTE
    'library' or 'require' call to 'lpSolve' which was already attached by Depends.
     Please remove these calls from your code.
    Package in Depends field not imported from: 'lpSolve'
     These packages need to be imported from (in the NAMESPACE file)
     for when this namespace is loaded but not attached.
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, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-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: 0.9-2
Check: R code for possible problems
Result: NOTE
    solveLP: no visible global function definition for 'lp'
    Undefined global functions or variables:
     lp
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, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-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: 0.9-2
Check: for non-standard things in the check directory
Result: NOTE
    Found the following files/directories:
     'steinh.mps'
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-patched-solaris-x86, r-release-linux-x86_64

Package micEcon

Current CRAN status: NOTE: 1, OK: 11

Version: 0.6-14
Check: Rd cross-references
Result: NOTE
    Undeclared packages ‘micEconAids’, ‘micEconSNQP’ in Rd xrefs
Flavor: r-devel-linux-x86_64-fedora-clang

Package micEconAids

Current CRAN status: OK: 12

Package micEconCES

Current CRAN status: NOTE: 12

Version: 0.9-8
Flags: --no-vignettes
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-windows-ix86+x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.9-8
Flags: --no-vignettes
Check: R code for possible problems
Result: NOTE
    cesEst: no visible global function definition for 'optim'
    cesEst: no visible global function definition for 'nlm'
    cesEst: no visible global function definition for 'nlminb'
    cesEst: no visible global function definition for 'as.formula'
    cesEst: no visible global function definition for 'nls'
    cesEst: no visible global function definition for 'coef'
    cesEst: no visible global function definition for 'deviance'
    cesEstKmenta: no visible global function definition for 'formula'
    cesEstKmenta: no visible global function definition for 'model.frame'
    cesEstKmenta: no visible global function definition for 'coef'
    cesEstKmenta: no visible global function definition for 'vcov'
    plot.cesEst: no visible global function definition for 'par'
    plot.cesEst: no visible global function definition for 'coef'
    plot.cesEst: no visible global function definition for
     'colorRampPalette'
    plot.cesEst: no visible binding for global variable 'persp'
    plot.cesEst: no visible global function definition for 'plot.default'
    plot.cesEst: no visible global function definition for 'points'
    print.cesEst: no visible global function definition for 'coef'
    print.summary.cesEst: no visible global function definition for 'coef'
    print.summary.cesEst: no visible global function definition for
     'printCoefmat'
    summary.cesEst: no visible global function definition for 'residuals'
    summary.cesEst: no visible global function definition for 'fitted'
    summary.cesEst: no visible global function definition for 'coef'
    Undefined global functions or variables:
     as.formula coef colorRampPalette deviance fitted formula model.frame
     nlm nlminb nls optim par persp plot.default points printCoefmat
     residuals vcov
    Consider adding
     importFrom("grDevices", "colorRampPalette")
     importFrom("graphics", "par", "persp", "plot.default", "points")
     importFrom("stats", "as.formula", "coef", "deviance", "fitted",
     "formula", "model.frame", "nlm", "nlminb", "nls", "optim",
     "printCoefmat", "residuals", "vcov")
    to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.9-8
Check: DESCRIPTION meta-information
Result: NOTE
    Malformed Description field: should contain one or more complete sentences.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-macos-x86_64, r-oldrel-macos-x86_64

Version: 0.9-8
Check: R code for possible problems
Result: NOTE
    cesEst: no visible global function definition for ‘optim’
    cesEst: no visible global function definition for ‘nlm’
    cesEst: no visible global function definition for ‘nlminb’
    cesEst: no visible global function definition for ‘as.formula’
    cesEst: no visible global function definition for ‘nls’
    cesEst: no visible global function definition for ‘coef’
    cesEst: no visible global function definition for ‘deviance’
    cesEstKmenta: no visible global function definition for ‘formula’
    cesEstKmenta: no visible global function definition for ‘model.frame’
    cesEstKmenta: no visible global function definition for ‘coef’
    cesEstKmenta: no visible global function definition for ‘vcov’
    plot.cesEst: no visible global function definition for ‘par’
    plot.cesEst: no visible global function definition for ‘coef’
    plot.cesEst: no visible global function definition for
     ‘colorRampPalette’
    plot.cesEst: no visible binding for global variable ‘persp’
    plot.cesEst: no visible global function definition for ‘plot.default’
    plot.cesEst: no visible global function definition for ‘points’
    print.cesEst: no visible global function definition for ‘coef’
    print.summary.cesEst: no visible global function definition for ‘coef’
    print.summary.cesEst: no visible global function definition for
     ‘printCoefmat’
    summary.cesEst: no visible global function definition for ‘residuals’
    summary.cesEst: no visible global function definition for ‘fitted’
    summary.cesEst: no visible global function definition for ‘coef’
    Undefined global functions or variables:
     as.formula coef colorRampPalette deviance fitted formula model.frame
     nlm nlminb nls optim par persp plot.default points printCoefmat
     residuals vcov
    Consider adding
     importFrom("grDevices", "colorRampPalette")
     importFrom("graphics", "par", "persp", "plot.default", "points")
     importFrom("stats", "as.formula", "coef", "deviance", "fitted",
     "formula", "model.frame", "nlm", "nlminb", "nls", "optim",
     "printCoefmat", "residuals", "vcov")
    to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-macos-x86_64, r-oldrel-macos-x86_64

Package micEconIndex

Current CRAN status: OK: 12

Package micEconSNQP

Current CRAN status: OK: 12

Package miscTools

Current CRAN status: NOTE: 1, OK: 11

Version: 0.6-26
Check: Rd cross-references
Result: NOTE
    Undeclared package ‘maxLik’ in Rd xrefs
Flavor: r-devel-linux-x86_64-fedora-clang

Package sampleSelection

Current CRAN status: OK: 12

Package systemfit

Current CRAN status: NOTE: 1, OK: 11

Version: 1.1-24
Check: Rd cross-references
Result: NOTE
    Undeclared package ‘Ecdat’ in Rd xrefs
Flavor: r-devel-linux-x86_64-fedora-clang