Error(s) in re-building vignettes:
--- re-building ‘demo.Rmd’ using rmarkdown
---------------------------------------------------------------------------
- Longitudinal clustering using: longitudinal k-means (KML)
---------------------------------------------------------------------------
Method arguments:
 time:           getOption("latrend.time")
 id:             getOption("latrend.id")
 nClusters:      2
 nbRedrawing:    1
 maxIt:          200
 imputationMethod:"copyMean"
 distanceName:   "euclidean"
 power:          2
 distance:       function() {}
 centerMethod:   meanNA
 startingCond:   "nearlyAll"
 nbCriterion:    1000
 scale:          TRUE
 response:       "Y"
---------------------------------------------------------------------------
Checking and transforming the training data format.
Preparing the training data for fitting...
Fitting the method...
Done fitting the method (0.21 secs)
---------------------------------------------------------------------------
Quitting from lines 151-154 (demo.Rmd) 
Error: processing vignette 'demo.Rmd' failed with diagnostics:
task 2 failed - "Please specify initial values with argument 'B'"
--- failed re-building ‘demo.Rmd’

--- re-building ‘implement.Rmd’ using rmarkdown
---------------------------------------------------------------------------
- Longitudinal clustering using: stratify
---------------------------------------------------------------------------
Method arguments:
 center:         meanNA
 nClusters:      NaN
 clusterNames:   NULL
 time:           getOption("latrend.time")
 id:             getOption("latrend.id")
 name:           "stratify"
 response:       "Y"
 stratify:       Y[1] > 1.6
---------------------------------------------------------------------------
Checking and transforming the training data format.
Preparing the training data for fitting...
Fitting the method...
Done fitting the method (0.013 secs)
---------------------------------------------------------------------------
---------------------------------------------------------------------------
- Longitudinal clustering using: stratify
---------------------------------------------------------------------------
Method arguments:
 center:         mean
 nClusters:      NaN
 clusterNames:   NULL
 time:           getOption("latrend.time")
 id:             getOption("latrend.id")
 name:           "stratify"
 response:       "Y"
 stratify:       stratfun
---------------------------------------------------------------------------
Checking and transforming the training data format.
Preparing the training data for fitting...
Fitting the method...
Done fitting the method (0.13 secs)
---------------------------------------------------------------------------
---------------------------------------------------------------------------
- Longitudinal clustering using: stratify
---------------------------------------------------------------------------
Method arguments:
 center:         meanNA
 nClusters:      NaN
 clusterNames:   c("Low", "High")
 time:           getOption("latrend.time")
 id:             getOption("latrend.id")
 name:           "stratify"
 response:       "Y"
 stratify:       Intercept[1] > 1.7
---------------------------------------------------------------------------
Checking and transforming the training data format.
Preparing the training data for fitting...
Fitting the method...
Done fitting the method (0.011 secs)
---------------------------------------------------------------------------
---------------------------------------------------------------------------
- Longitudinal clustering using: two-step clustering
---------------------------------------------------------------------------
Method arguments:
 standardize:    scale
 center:         meanNA
 time:           getOption("latrend.time")
 id:             getOption("latrend.id")
 response:       "Y"
 representationStep:repStep
 clusterStep:    clusStep
---------------------------------------------------------------------------
Checking and transforming the training data format.
Preparing the training data for fitting...
Fitting the method...
Done fitting the method (0.14 secs)
---------------------------------------------------------------------------
---------------------------------------------------------------------------
- Longitudinal clustering using: two-step clustering
---------------------------------------------------------------------------
Method arguments:
 nClusters:      2
 formula:        Y ~ Time
 standardize:    scale
 center:         meanNA
 time:           getOption("latrend.time")
 id:             getOption("latrend.id")
 response:       "Y"
 representationStep:repStep.gen
 clusterStep:    clusStep.gen
---------------------------------------------------------------------------
Checking and transforming the training data format.
Preparing the training data for fitting...
Fitting the method...
Done fitting the method (0.14 secs)
---------------------------------------------------------------------------
---------------------------------------------------------------------------
- Longitudinal clustering using: simple group-based trajectory model
---------------------------------------------------------------------------
Method arguments:
 formula:        Y ~ Time
 time:           "Time"
 id:             "Traj"
 nClusters:      2
 nwg:            FALSE
---------------------------------------------------------------------------
Checking and transforming the training data format.
Preparing the training data for fitting...
Fitting the method...
Quitting from lines 357-359 (implement.Rmd) 
Error: processing vignette 'implement.Rmd' failed with diagnostics:
Please specify initial values with argument 'B'
--- failed re-building ‘implement.Rmd’

--- re-building ‘simulation.Rmd’ using rmarkdown
--- finished re-building ‘simulation.Rmd’

--- re-building ‘validation.Rmd’ using rmarkdown
--- finished re-building ‘validation.Rmd’

SUMMARY: processing the following files failed:
  ‘demo.Rmd’ ‘implement.Rmd’

Error: Vignette re-building failed.
Execution halted