seq_berenblut: Berenblut (1964) cross-over design specification
In mjg211/xover: Design and analysis of cross-over clinical trials

Description Usage Arguments Details Value Author(s) References Examples

Specifies cross-over designs from Berenblut (1964).

1 2	seq_berenblut(D = 3, labels = 0:(D - 1), as_matrix = T, summary = T)

`D`	The number of treatments. Must be either five or eight. Defaults to `2`.
`labels`	A `vector` of labels for the treatments. Should be of `length` `D`, containing unique elements. Defaults to `0:(D - 1)`.
`as_matrix`	A `logical` variable indicating whether the design should be returned as a `matrix`, or a `tibble`. Defaults to `T`.
`summary`	A `logical` variable indicating whether a summary of the function's progress should be printed to the console. Defaults to `T`.

seq_berenblut() supports the specification of cross-over designs from Berenblut (1964). Designs for three, four, and five treatments (see D) are supported, for any chosen treatment labels (see labels). In addition, the designs can be returned in matrix or tibble form (see as_matrix).

Precisely, the (k,j)th element of the cross-over design matrix corresponds to the treatment a subject on the kth sequence would receive in the jth period.

Either a matrix if as_matrix = T (with rows corresponding to sequences and columns to periods), or a tibble if as_matrix = F (with rows corresponding to a particular period on a particular sequence). In either case, the returned object will have class xover_seq.

Based on data from the Crossover package by Kornelius Rohmeyer.

Berenblut II (1964) Change-over designs with complete balance for residual effects. Biometrics 23:578-580.

# Berenblut (1964) design for three treatments
berenblut        <- seq_berenblut()
# Using different labels
berenblut_ABC    <- seq_berenblut(labels = LETTERS[1:3])
# Returning in tibble form
berenblut_tibble <- seq_berenblut(as_matrix = F)