| general.carryover {Crossover} | R Documentation |
Calculate variances of paramater contrasts
Description
Calculate variances of paramater contrasts
Usage
general.carryover(
design,
v = length(table(design)),
model,
ppp = 0.5,
placebos = 1,
contrasts
)
Arguments
design |
Cross-over design. |
v |
Number of treatments |
model |
Model - one of the following numbers or Strings: 1 = "Standard additive model", 2 = "Self-adjacency model", 3 = "Proportionality model", 4 = "Placebo model", 5 = "No carry-over into self model", 6 = "Treatment decay model", 7 = "Full set of interactions", 8 = "Second-order carry-over effects" |
ppp |
The proportionality parameter for the proportionality model. |
placebos |
The number of placebo treatments in the placebo model. |
contrasts |
Optionally a contrast matrix or a list of contrast matrix. If missing pairwise differences for treatment and carry-over parameters are calculated. |
Details
See the vignette of this package for further details.
Value
A list with the variances of the pairwise differences or specified contrasts. If contrasts are not estimable, NA is returned for variances.
Author(s)
Kornelius Rohmeyer rohmeyer@small-projects.de
References
Jones, B., & Kenward, M. G. (2003). Design and analysis of cross-over trials (Vol. 98). Chapman & Hall.
Examples
general.carryover(getDesign("fletcher1"), model=1)
general.carryover(getDesign("fletcher1"), model=2)
general.carryover(getDesign("fletcher1"), model=3)
general.carryover(getDesign("switchback4t"), model=7)