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