CheckArguments_Impute: Argument check to Impute()
In anacarolinaleote/ADImpute: Adaptive Dropout Imputer (ADImpute)

CheckArguments_Impute checks whether the arguments passed to Impute are correct.

1 2	CheckArguments_Impute(data, method.choice, do, tr.length, labels, cell.clusters, true.zero.thr, drop_thre)

`data`	matrix; raw counts (genes as rows and samples as columns)
`method.choice`	character; best performing method in training data for each gene
`do`	character; choice of methods to be used for imputation. Currently supported methods are `'Baseline'`, `'DrImpute'`, `'Network'`, and `'Ensemble'`. Defaults to `'Ensemble'`. Not case-sensitive. Can include one or more methods. Non-supported methods will be ignored.
`tr.length`	matrix with at least 2 columns: 'hgnc_symbol' and 'transcript_length'
`labels`	character; vector specifying the cell type of each column of `data`
`cell.clusters`	integer; number of cell subpopulations
`true.zero.thr`	if set to NULL (default), no true zero estimation is performed. Set to numeric value between 0 and 1 for estimation. Value corresponds to the threshold used to determine true zeros: if the probability of dropout is lower than `true.zero.thr`, the imputed entries are set to zero.
`drop_thre`	numeric; between 0 and 1 specifying the threshold to determine dropout values