seqimpute() now has an argument end.impute argument, which specifies if
missing data at the end of sequences should be imputed or not.
seqmissIplot(), seqmissfplot() and seqmissimplic now have an argument
void.miss, which specifies whether the void values of a provided object of
class stslist should be considered as missings or not.
seqaddNA() now has an argument maxprop, which specifies the maximum
proportion of missing data that is allowed to be simulated in a sequence.
Fixes issues with seqimpute() when more than one row only with NA's end
the dataset to impute.
In seqmissIplot() and seqmissfplot(), the states in the plots are now
labbeled as 'missing' and 'not missing' instead of 'missing' and 'observed' to
account for uneven sequence length.
Fixes issues in seqimpute() related to the preparation of the data when
an object of class stslist, built with the TraMineR package is provided.
seqimpute() now returns an object of class seqimp. In particular, the
include and mice.return arguments are no longer relevant and have been
removed.
The OD argument has been renamed to data. The argument OD itself is
deprecated.
The CO argument has been renamed to covariates. The argument CO itself
is deprecated.
The COt argument has been renamed to time.covariates. The argument
COt itself is deprecated.
The mi argument has been renamed to m. The argument mi itself is
deprecated.
The dataset provided in the package used to be divided into three parts:
the trajectories (OD), the covariates (CO),
and the time-varying covariates (COt). They now appear as a
single dataset, called gameadd.
seqimpute() no longer implements linear and ordinal regressions.
The default argument of m has been set to 5.
seqimpute() implements the MICT-timing imputation algorithm. The argument
timing indicates whether to use this algorithm or the MICT algorithm, and
frame.radius specifies the radius of the time frame.
The user can now pass a dataset to the seqimpute() function and specify
which columns correspond to the trajectories with the var argument, to the
covariates with the covariates argument, and the time-varying covariates with
the time.covariates argument.
A vignette has been added.
New seqmissfplot() plot function, which plots the most frequent patterns of
missing data.
New seqmissIplot() plot function, which plots all patterns of missing data.
New seqmissimplic() function for identifying and visualizing the states
that best characterize sequences with missing data.
New fromseqimp() function, which converts a seqimp object into a
specified format.
New addcluster() function, which adds a clustering result to a seqimp
object
New seqaddNA() function to simulate missing data.
New seqcomplete() function, which extracts all trajectories without missing
data.
New seqwithmiss() function, which extracts all the trajectories with at
least one missing value.
seqimpute() now returns an object of class seqimp. A print, summary, and
plot functions have been added for this object type.
seqTrans() and seqQuickLook() now accept objects of class stslist
built with the TraMineR package.
A ... argument has been added to seqimpute() to pass named arguments to
the imputation functions.
Fixes issues in seqimpute() related to the multinomial model when there is
only one state in the dependent variable.
Fixes issues in seqimpute() related to random forest when one state does not appear in the
dependent variable.
Fixes bug in seqimpute() when a single covariate is specified.
Fixes bug in seqimpute() related to long internal gaps.
Fixes bug in seqQuickLook() induced by datasets without missing data.