modelValuesSpec: Create the specs for a custom NIMBLE modelValues Object

In thirdwing/nimble: Flexible BUGS-compatible system for hierarchical statistical modeling and algorithm development

Description

Builds an R-based modelValues spec object

Usage

modelValuesSpec(symTab, className, vars, types, sizes, modelDef = NA,
  where = globalenv())

Arguments

vars	A vector of character strings naming each variable in the modelValues object
types	A vector of character strings describing the type of data for the modelValues object. Options include ‘double’ (for real-valued variables) and ‘int’.
sizes	A list in which the named items of the list match the var arguments and each item is a numeric vector of the dimensions
symTab	For internal use only
className	For internal use only
where	For internal use only

Details

See the User Manual or help(modelValuesBaseClass) and help(modelValues) for information

Author(s)

Clifford Anderson-Bergman

Examples

#Custom modelValues object:
mvSpec <- modelValuesSpec(vars = c('x', 'y'),
				types = c('double', 'int'),
				sizes = list(x = 3, y = c(2,2)))
custom_mv <- modelValues(mvSpec, m = 2)
custom_mv['y',]
[[1]]
     [,1] [,2]
[1,]   NA   NA
[2,]   NA   NA

[[2]]
     [,1] [,2]
[1,]   NA   NA
[2,]   NA   NA

thirdwing/nimble documentation built on May 31, 2019, 10:41 a.m.