locallevel_pop_props: Estimate Local Level Population Proportions
In n8thangreen/STIecoPredict: Multilevel Regression With Post-Stratification Using Natsal Data
Description
Usage
Arguments
Details
Value
See Also
Examples
View source: R/locallevel_pop_props.R
Description
Combined LA level data for single risk factors and non-LA but multiple risk factor data sets.
Estimates a (partial-) joint distribution for each LA using the reference tables.
This is in contrast to locallevel_pop_sim which generates a sample of individuals
so is much slower to run.
Makes relative (to national average) LA-level prevalence adjustments.
Usage
1
locallevel_pop_props(ageRange = 16:24)
Arguments
ageRange
Integer sequence of subset of age, which the probability of belonging to will sum to 1.
Details
Input data is in data(pop_sim_input) in STIecoPredict package.
Value
list by each LA
See Also
Examples
1
2
data("locallevel_pop_input")
sim_prop <- locallevel_pop_props()
n8thangreen/STIecoPredict documentation built on June 7, 2020, 12:50 p.m.
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Description Usage Arguments Details Value See Also Examples
View source: R/locallevel_pop_props.R
Description
Combined LA level data for single risk factors and non-LA but multiple risk factor data sets.
Estimates a (partial-) joint distribution for each LA using the reference tables.
This is in contrast to locallevel_pop_sim which generates a sample of individuals
so is much slower to run.
Makes relative (to national average) LA-level prevalence adjustments.
Usage
1 | locallevel_pop_props(ageRange = 16:24)
|
Arguments
ageRange |
Integer sequence of subset of age, which the probability of belonging to will sum to 1. |
Details
Input data is in data(pop_sim_input) in STIecoPredict package.
Value
list by each LA
See Also
Examples
1 2 | data("locallevel_pop_input")
sim_prop <- locallevel_pop_props()
|
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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