params: params
In DMCFB: Differentially Methylated Cytosines via a Bayesian Functional Approach

Description Arguments Author(s)

parameters name and their descriptions

`methReads`	The matrix `methReads` contains the number of methylated reads spanning a CpG-site. The rows represent the CpG sites in `rowRanges` and the columns represent the samples in `colData`.
`totalReads`	The matrix `totalReads` contains the number of reads spanning a CpG-site. The rows represent the CpG sites in `rowRanges` and the columns represent the samples in `colData`.
`methLevels`	The matrix `methLevels` contains the predicted methylation level spanning a CpG-site using Bayesian functional regression models. The rows represent the CpG sites in `rowRanges` and the columns represent the samples in `colData`.
`rowRanges`	A `GRanges` or `GRangesList` object describing the ranges of interest. Names, if present, become the row names of the `SummarizedExperiment` object. The length of the `GRanges` or `GRangesList` must equal the number of rows of the matrices in `assays`. If `rowRanges` is missing, a `SummarizedExperiment` instance is returned.
`colData`	Object of class `'DataFrame'` containing information on variable values of the samples
`metadata`	A `list` of storing MCMC samples or DMCs
`object`	A `BSDMC-class` object
`value`	An integer matrix
`name`	A character list
`obj1`	A `BSDMC-class`
`obj2`	A `BSDMC-class`
`files`	A character list
`file`	A character
`nCores`	An integer value specifying the number of machine cores for parallel computing
`mc.cores`	An integer greater than 0
`pSize`	An integer value specifying the number of cytosines in a regrion to be used in a Bayesian functiona regression model for DMC detection
`bwa`	An integer value specifying the band-width size of B-spline basis matrix for a natural cubic spline for the group-specific effects of the Bayesian functional regression model
`bwb`	An integer value specifying the band-width size of B-spline basis matrix for a natural cubic spline for the individual-specific effects of the Bayesian functional regression model
`nBurn`	An integer value specifying the number of burn-in samples
`nThin`	An integer value specifying the thining number in MCMC
`nMC`	An integer value specifying the number of MCMC samples after burn-in
`sdv`	An double value specifying the standard deviation of priors
`alpha`	A numeric value specifying the level of α in credible interval (1-α)\%
`col`	A character vector indicating which colors to alternate.
`sfiles`	A logical value indicating whether files to be saved or not.
`region`	An integer vector of length two specifying which subset of the object to be plotted
`nSplit`	A integer value specifying the number of subsets must be done for plotting the results of DMC identification
`parList`	A list specifying plots parameters, see `par`
`...`	other possible parameters