rf1.inputs: rf1.inputs
In akeyel/rf1: Random Forest Workflow 1 for DFMIP

The model-specific inputs required to run the RF1 model

`files.to.add`	A list of file names of other data sources to be included in the Random Forest model. If no additional data is to be added, this should be an empty list (i.e. list()) or NA.
`merge.type.vec`	A vector identifying how the files should be joined to the mosquito and human data. Options are spatial_temporal where merges will be performed on county and year (e.g., climate data); state_temporal where merges will be performed on state and year (e.g. BBS data at state level), and spatial, where merges will be performed on county only (e.g., landcover and census data). This must have the same length as files.to.add, and if no additional data is to be added, this should be an empty vector (i.e. c()) or NA.
`analysis.counties`	A list of counties included in the analysis (this is for ensuring that a county and year that does not have a human case is treated as a 0)
`analysis.years`	A list of years included in the analysis (this is for ensuring that a county and year that does not have a human case is treated as a 0 rather than as missing) #**# This is problematic if a specific county or year is missing.
`user.drop.vars`	A list of independent variables that should be excluded from the analysis. If no variables should be excluded, this should be an empty vector c() or NA.
`mosq.model`	The Random Forest model to use for forecasting mosquito infection rates. If this is to be fitted from the empirical data, this should be set to NA
`human.model`	The Random Forest model to use for forecasting human cases. If this is to be fitted from the empirical data, this should be set to NA.
`no.data.exceptions`	#**# COMING SOON A list of county-years within the range of analysis.years and analysis.counties that are missing data rather than 0's