Package check result: NOTE

Check: CRAN incoming feasibility, Result: NOTE
  Maintainer: ‘Russell V. Lenth <russell-lenth@uiowa.edu>’
  
  Found the following (possibly) invalid URLs:
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      From: inst/doc/xplanations.html
      Status: Error
      Message: Server returned nothing (no headers, no data) [documentation.sas.com]:
        Empty reply from server
    URL: https://stackoverflow.com/questions/63713439
      From: NEWS.md
      Status: 403
      Message: Forbidden
    URL: https://stackoverflow.com/questions/64962094
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    URL: https://stackoverflow.com/questions/66675697
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    URL: https://stackoverflow.com/questions/68969384
      From: NEWS.md
      Status: 403
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    URL: https://stats.stackexchange.com/questions/332167/what-are-ls-means-useful-for
      From: inst/doc/basics.html
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    URL: https://stats.stackexchange.com/questions/484886
      From: NEWS.md
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    URL: https://stats.stackexchange.com/questions/510862/is-least-squares-means-lsmeans-statistical-nonsense/510923#510923
      From: inst/doc/basics.html
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    URL: https://stats.stackexchange.com/questions/620842/help-interpreting-zeroinfl-results-from-emmeans/621108?noredirect=1#comment1155903_621108
      From: inst/doc/sophisticated.html
      Status: 403
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Changes to worse in reverse depends:

Package: RVAideMemoire
Check: examples
New result: ERROR
  Running examples in ‘RVAideMemoire-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: rating.emmeans
  > ### Title: EMMeans for Cumulative Link (Mixed) Models
  > ### Aliases: rating.emmeans
  > 
  > ### ** Examples
  > 
  > if (require("ordinal",quietly=TRUE) & require("emmeans",quietly=TRUE)) {
  +   model <- clm(rating~contact*temp,data=wine)
  +   EMM <- emmeans(model,~contact:temp|cut,mode="linear.predictor")
  + 
  +   # Probabilities
  +   rating.emmeans(EMM)
  + 
  +   # Cumulative probabilities
  +   rating.emmeans(EMM,type="cumprob")
  + 
  +   # Most probable rating
  +   rating.emmeans(EMM,type="class1")
  + }
  Welcome to emmeans.
  Caution: You lose important information if you filter this package's results.
  See '? untidy'
  Error in data.frame(fac = levs, cut = rep(levs.cut2, levs.cut.rep), cumprob = summ$cumprob) : 
    arguments imply differing number of rows: 16, 0
  Calls: rating.emmeans -> data.frame
  Execution halted