solve_mm_for_joint: Do the Moment Matching solving for joint distribution
In spew: SPEW Framework for Generating Synthetic Ecosystems
Description
Usage
Arguments
Value
Description
Do the Moment Matching solving for joint distribution
Usage
1
solve_mm_for_joint(place_id, mm_row, pums, assumption, meq = 2)
Arguments
place_id
unique code identifying the place
mm_row
dataframe of 1 row, includes place_id, puma_id, and averages, with names matching PUMS
pums
the subsetted PUMS from which the sample will be drawn
assumption
"joint"
meq
(number of moments + 1) to match (2 is default and corresponds to matching the average)
Value
x vector of length of the number of records in the PUMS. These are probabilities for each of the records in the PUMS.
spew documentation built on Nov. 17, 2017, 7:36 a.m.
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Description Usage Arguments Value
Description
Do the Moment Matching solving for joint distribution
Usage
1 | solve_mm_for_joint(place_id, mm_row, pums, assumption, meq = 2)
|
Arguments
place_id |
unique code identifying the place |
mm_row |
dataframe of 1 row, includes place_id, puma_id, and averages, with names matching PUMS |
pums |
the subsetted PUMS from which the sample will be drawn |
assumption |
"joint" |
meq |
(number of moments + 1) to match (2 is default and corresponds to matching the average) |
Value
x vector of length of the number of records in the PUMS. These are probabilities for each of the records in the PUMS.
R Package Documentation
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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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