Package check result: NOTE

Check: CRAN incoming feasibility, Result: NOTE
  Maintainer: ‘Michel Meulders <michel.meulders@kuleuven.be>’
  
  New maintainer:
    Michel Meulders <michel.meulders@kuleuven.be>
  Old maintainer(s):
    Frits Traets <frits.traets@kuleuven.be>

Changes to worse in reverse depends:

Package: cbcTools
Check: examples
New result: ERROR
  Running examples in ‘cbcTools-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: cbc_design
  > ### Title: Make a choice-based conjoint survey design
  > ### Aliases: cbc_design
  > ### Keywords: DoE.base design experiment idefix logit logitr mixed mnl mxl
  > 
  > ### ** Examples
  > 
  > library(cbcTools)
  > 
  > # A simple conjoint experiment about apples
  > 
  > # Generate all possible profiles
  > profiles <- cbc_profiles(
  +   price     = c(1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5),
  +   type      = c("Fuji", "Gala", "Honeycrisp"),
  +   freshness = c('Poor', 'Average', 'Excellent')
  + )
  > 
  > # Make a survey by randomly sampling from all possible profiles
  > # (This is the default setting where method = 'random')
  > design_random <- cbc_design(
  +   profiles = profiles,
  +   n_resp   = 100, # Number of respondents
  +   n_alts   = 3,   # Number of alternatives per question
  +   n_q      = 6    # Number of questions per respondent
  + )
  > 
  > # Make a survey using a full factorial design and include a "no choice" option
  > design_full <- cbc_design(
  +   profiles = profiles,
  +   n_resp   = 100, # Number of respondents
  +   n_alts   = 3,   # Number of alternatives per question
  +   n_q      = 6,   # Number of questions per respondent
  +   method   = 'full', # Change this to use a different method, e.g. 'orthogonal', or 'dopt'
  +   no_choice = TRUE
  + )
  > 
  > # Make a survey by randomly sampling from all possible profiles
  > # with each level of the "type" attribute appearing as an alternative
  > design_random_labeled <- cbc_design(
  +   profiles = profiles,
  +   n_resp   = 100, # Number of respondents
  +   n_alts   = 3,   # Number of alternatives per question
  +   n_q      = 6,   # Number of questions per respondent
  +   label    = "type"
  + )
  > 
  > # Make a Bayesian D-efficient design with a prior model specified
  > # Note that by speed can be improved by setting parallel = TRUE
  > design_bayesian <- cbc_design(
  +     profiles  = profiles,
  +     n_resp    = 100, # Number of respondents
  +     n_alts    = 3,   # Number of alternatives per question
  +     n_q       = 6,   # Number of questions per respondent
  +     n_start   = 1,   # Defaults to 5, set to 1 here for a quick example
  +     priors = list(
  +         price     = -0.1,
  +         type      = c(0.1, 0.2),
  +         freshness = c(0.1, 0.2)
  +     ),
  +     method = "CEA",
  +     parallel = FALSE
  + )
  Error in idefix::Decode(des = D$design, n.alts = n_alts, alt.cte = alt_cte,  : 
    'n.alts' does not seem correct based on nrow(des)
  Calls: cbc_design -> make_design_bayesian -> <Anonymous>
  Execution halted