Description Usage Arguments Value Author(s) See Also
Either use supplied fits from previous fitting or initialise from count data.
1 2 3 | initMuModel(matCounts, dfAnnotation, vecConfoundersMu, vecNormConst,
scaDFSplinesMu, matWeights, matMuModelInit, lsmatBatchModelInitMu, strMuModel,
MAXIT_BFGS_MuDisp, RELTOL_BFGS_MuDisp)
|
matCounts |
(matrix genes x cells) Count data of all cells, unobserved entries are NA. |
dfAnnotation |
(data frame cells x meta characteristics) Annotation table which contains meta data on cells. |
vecConfoundersMu |
(vector of strings number of confounders on mean) [Default NULL] Confounders to correct for in mu batch correction model, must be subset of column names of dfAnnotation which describe condounding variables. |
vecNormConst |
(numeric vector number of cells) Model scaling factors, one per cell. These factors linearly scale the mean model for evaluation of the loglikelihood. |
scaDFSplinesMu |
(sca) [Default NULL] If strMuModel=="splines", the degrees of freedom of the natural cubic spline to be used as a mean parameter model. |
matWeights |
(numeric matrix cells x mixtures) [Default NULL] Assignments of cells to mixtures (for strMuModel="MM"). |
matMuModelInit |
(numeric matrix genes x mu model parameters) [Default NULL] Contains initialisation of mean model parameters according to the used model. |
lsmatBatchModelInitMu |
(list) [Default NULL] Initialisation of batch correction models for mean parameter. |
strMuModel |
(str) "constant", "groups", "MM", "splines","impulse" [Default "impulse"] Model according to which the mean parameter is fit to each gene as a function of population structure in the alternative model (H1). |
MAXIT_BFGS_MuDisp |
(sca) Maximum number of iterations in BFGS estimation of Mu/Disp models. This is a control parameter to optim(). |
RELTOL_BFGS_MuDisp |
(sca) Relative tolerance of BFGS estimation of Mu/Disp models. This is a control parameter to optim(). |
lsMuModel (list) Initialisation of mean model object.
David Sebastian Fischer
Called by fitModel
.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.