Description Usage Arguments Details Value Author(s)
View source: R/create_matrices.R
Parses a character string describing a set of informative hypotheses, and returns (in)equality constraint matrices
1  create_matrices(varnames, hyp)

varnames 
A character (vector of characters), containing names of variables used in the hypotheses. which the model parameters are extracted. 
hyp 
A character string, containing a hypothesis (see Details). 
Informative hypotheses specified as a character string by "hyp" should adhere to the following simple syntax:
Competing hypotheses are separated by ";". Thus, "a=b;a>b" means that H1: a=b, and H2: a>b.
Each individual hypothesis consists of a (series of) (in)equality constraint(s). Every single (in)equality constraint is of the form "R1*mu1 + R2*mu2+... = r", where capital Rs refer to numeric scaling constants, must refer to the names of parameters in the model, and the lower case r refers to a constant. Standard mathematical simplification rules apply; thus, "R1*mu1 = R2*mu2" is equivalent to "R1*mu1  R2*mu2 = 0".
Multiple unrelated constraints within one hypothesis can be chained by "&". Thus, "a=b&c=d" means that H1: a=b AND c=d.
Multiple related constraints within one hypothesis can be chained by repeating the (in)equality operators "=", "<", or ">". Thus, "a<b<c" means that H1: a < b AND b < c.
Parameters can be grouped by placing them in a parenthesized, comma separated list. Thus, "(a,b)>c" means that H1: a > c AND b > c. Similarly, "(a,b)>(c,d)" means that H1: a > c AND b > c AND b > c AND b > d.
A pair of named matrices for every hypothesis specified in the
hyp
argument; one matrix named ERr, specifying equality constraints,
and one matrix named IRr, specifying inequality constraints.
Caspar van Lissa
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.