flash_update_data: Update data in a flash object
In willwerscheid/flashier: Empirical Bayes Matrix Factorization

flash_update_data

R Documentation

Update data in a flash object

Replaces the data in a flash object with a new set of observations. Estimates of residual variances and the ELBO are also updated.

flash_update_data(flash, newdata, Y2_diff = NULL)

`flash`	A `flash` or `flash_fit` object.
`newdata`	The new observations. Can be a matrix, a sparse matrix of class `Matrix`, or a low-rank matrix representation.
`Y2_diff`	Optionally, users can supply the (summed) changes in the squared values of the data `y_{ij}^2`, which are needed to estimate the residual variance parameters `s_{ij}^2` for simple variance structures (i.e., when `var_type` is set to 0, 1, or 2). If calculating entries `y_{ij}^2` from scratch is expensive, supplying an argument to `Y2_diff` can greatly speed up data updates. If specified, the argument should be a scalar `\sum_{i, j} \left( y_{ij}^{2 \text{(new)}} - y_{ij}^{2 \text{(old)}} \right)` when `var_type = 0`; a vector of length `n` with entries `\sum_{j = 1}^p \left( y_{ij}^{2 \text{(new)}} - y_{ij}^{2 \text{(old)}} \right)` when `var_type = 1`; or a vector of length `p` with entries `\sum_{i = 1}^n \left( y_{ij}^{2 \text{(new)}} - y_{ij}^{2 \text{(old)}} \right)` when `var_type = 2`. The argument is ignored when any other variance structure is used.