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add.kp()
|
attach known populations to a dataframe |
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df.to.kpvec()
|
turn a dataframe into a known population vector |
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estimate.error()
|
given an estimated subpopn size or prevalence and the correct value,
produce some measurements of how close the esimate is |
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example.knownpop.dat
|
Example known population data |
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example.survey
|
Example household survey data |
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gwsm.estimator()
|
indirect estimator
(generalized weight share method / gwsm) |
|
kp.degree.estimator()
|
kp.degree.estimator (DEPRECATED) |
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kp.estimator_() kp.estimator()
|
Average personal network size estimates using known population method |
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kp.individual.estimator() kp.individual.estimator_()
|
Individual personal network size estimates using the known population method |
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multiplicity.estimator()
|
multiplicity.estimator |
|
network.survival.estimator_() network.survival.estimator()
|
network survival estimator |
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networkreporting
|
Network reporting estimators |
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nsum.estimator()
|
nsum.estimator |
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nsum.internal.consistency()
|
nsum.internal.consistency |
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plot_meanties_truth()
|
plot_meanties_truth |
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rdsII.estimator()
|
rdsII.estimator |
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report.aggregator_() report.aggregator()
|
aggregate a reported quantity by groups |
|
summation.estimator()
|
summation.estimator |
|
topcode.data()
|
topcode a group of variables |
|
topcode.var()
|
topcode a vector of numerical values |
|
total.degree.estimator()
|
total.degree |