prepare_stan_data: Prepare input data to run the Stan model

In rbmi: Reference Based Multiple Imputation

Prepare input data to run the Stan model

Description

Prepare input data to run the Stan model. Creates / calculates all the required inputs as required by the ⁠data{}⁠ block of the MMRM Stan program.

Usage

prepare_stan_data(ddat, subjid, visit, outcome, group)

Arguments

ddat	A design matrix
subjid	Character vector containing the subjects IDs.
visit	Vector containing the visits.
outcome	Numeric vector containing the outcome variable.
group	Vector containing the group variable.

Details

• The group argument determines which covariance matrix group the subject belongs to. If you want all subjects to use a shared covariance matrix then set group to "1" for everyone.

Value

A stan_data object. A named list as per ⁠data{}⁠ block of the related Stan file. In particular it returns:

• N - The number of rows in the design matrix

• P - The number of columns in the design matrix

• G - The number of distinct covariance matrix groups (i.e. length(unique(group)))

• n_visit - The number of unique outcome visits

• n_pat - The total number of pattern groups (as defined by missingness patterns & covariance group)

• pat_G - Index for which Sigma each pattern group should use

• pat_n_pt - number of patients within each pattern group

• pat_n_visit - number of non-missing visits in each pattern group

• pat_sigma_index - rows/cols from Sigma to subset on for the pattern group (padded by 0's)

• y - The outcome variable

• Q - design matrix (after QR decomposition)

• R - R matrix from the QR decomposition of the design matrix

rbmi documentation built on Nov. 24, 2023, 5:11 p.m.