NEWS.md
In seqimpute: Imputation of Missing Data in Sequence Analysis

seqimpute 2.0.0

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.