hc_rdslope_info: Get info on the main effects in a random slope structure for...

In JointAI: Joint Analysis and Imputation of Incomplete Data

Get info on the main effects in a random slope structure for a given level and sub-model

Description

Get info on the main effects in a random slope structure for a given level and sub-model

Usage

hc_rdslope_info(hc_cols, parelmts)

Arguments

hc_cols	list of lists (one per random effect), each containing a list with elements "main" and "interact" that contain information on the column number and name of the design matrix for the random effects variables or variables interacting with them
parelmts	list (per design matrix) of indices of the regression coefficients used for that sub-model (named with the corresponding column name of the design matrix)

Details

Argument hc_cols should have the structure:

list(
  "(Intercept)" = list(main = c(M_id = 1),
                       interact = NULL),
  time = list(main = c(M_lvlone = 4),
              interact = list("C1:time" = list(interterm = c(M_lvlone = 6),
                                               elmts = c(M_id = 2,
                                                         M_lvlone = 4)),
                              "b21:time" = list(interterm = c(M_lvlone = 7),
                                                elmts = c(M_lvlone = 3,
                                                          M_lvlone = 4))
              )
  ),
  "I(time^2)" = list(main = c(M_lvlone = 5),
                     interact = NULL)
)

Argument parelmts is a list of lists instead of a list of vectors in case of a multinomial model or cumulative logit model with non-proportional effects.

Value

a data.frame with columns

• rd_effect: name of the main random effect,

• term: the name of the random effect,

• matrix: the name of the design matrix,

• cols: the column index of the design matrix,

• parelmts (the index of the corresponding regression coefficient and one row per (main) random effect

JointAI documentation built on April 27, 2023, 5:15 p.m.