makeModelStrings: Given a character vector of length J of variable names,...
In studyvin/pollinatorAttractiveness: Pollinator Attractiveness Analysis

Given a character vector of length J of variable names, construct all K <= J combinations of possible model covariate strings.

1	makeModelStrings(row, K, offset = NULL)

`row`	A `data.frame` of one row, containing several columns used to build a `formula` object. See Details.
`K`	An integer less than or equal to the length of variables provided via `possibleCovars`. Currently, only values of `1`, `2`, `3`, `4`, or `5` are allowed.
`offset`	A character vector of variables to include as an offset. Default is `NULL`. Not currently coded to do anything in the case of a non-`NULL`.

Function makeModelStrings simply uses the combn function to select all combinations of required model covariate strings.

Required object row should include columns for each of

possibleCovars: A character vector housing the names of the different variables for which univariate models have previously been fit.
outcomeFormula: A character vector housing the name(s) of the variable used as an outcome, and intended for use within a resulting formula-type object. Can be fancier "cbind-type" character strings in the case of binomial outcomes.
baseFormula: A text string identifying any random-effect summands. Possibly blank in the case none are desired.
ziFormula: A text string identifying any zero-inflation formulae. Possibly blank in the case none are desired.

A list with three objects:

modelIntY: A character vector housing formula objects for use in modeling with intercepts " + 1" explicitly included.
modelIntN: A character vector housing formula objects for use in modeling without intercepts " - 1" explicitly included.
modelZI: A character vector housing formula objects for use in modeling. Presence or absence of intercepts dictated via underlying stored csv from which row originates.
modelRaw: A character vector housing modelIntY (or modelIntN) without an intecept summand.