calculate.MLE.v2: Calculate MLE for a specified subset of the data using R
In akeyel/rf1: Random Forest Workflow 1 for DFMIP
Description
Usage
Arguments
Value
Description
Modified from wnv_hlpr.R
Usage
1
calculate.MLE.v2(md, temporal.resolution = "annual")
Arguments
md
Data on mosquito pools tested for the disease. Must be formatted with 4 columns: location (the spatial unit, e.g. county), col_date: the date the mosquitoes were tested, wnv_result: whether or not the pool was positive, pool_size: the number of mosquitoes tested in the pool. A fifth column species is optional but is not used by the code
temporal.resolution
Must be set to 'annual' for now. Ideally support for finer-scale resolution will be added.
Value
Mosquito data compiled to give estimated mosquito infection rates by spatial unit and temporal resolution
akeyel/rf1 documentation built on Dec. 28, 2020, 4:48 a.m.
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Description Usage Arguments Value
Description
Modified from wnv_hlpr.R
Usage
1 | calculate.MLE.v2(md, temporal.resolution = "annual")
|
Arguments
md |
Data on mosquito pools tested for the disease. Must be formatted with 4 columns: location (the spatial unit, e.g. county), col_date: the date the mosquitoes were tested, wnv_result: whether or not the pool was positive, pool_size: the number of mosquitoes tested in the pool. A fifth column species is optional but is not used by the code |
temporal.resolution |
Must be set to 'annual' for now. Ideally support for finer-scale resolution will be added. |
Value
Mosquito data compiled to give estimated mosquito infection rates by spatial unit and temporal resolution
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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