| networkreporting-package | Network reporting estimators |
| add.kp | attach known populations to a dataframe |
| bootstrap.estimates | bootstrap.estimates |
| chain.data | get a dataset from a chain |
| chain.size | get the size of a chain |
| chain.vals | chain.vals |
| compare.mean.ties.truth | compare.mean.ties.truth |
| df.to.kpvec | turn a dataframe into a known population vector |
| estimate.degree.distns | estimate degree distributions by trait |
| estimate.error | given an estimated subpopn size or prevalence and the correct value, produce some measurements of how close the esimate is |
| estimate.mixing | construct a mixing model from GoC/RDS data |
| example.survey | Example household survey data |
| gwsm.estimator | indirect estimator (generalized weight share method / gwsm) |
| hm.q | Names of ARD questions for known populations in example household survey data |
| is.child.ct | determine whether or not one id is a parent of another |
| knownpop.dat | Size of example known populations |
| kp.degree.estimator | kp.degree.estimator |
| make.chain | build an RDS seed's chain from the dataset |
| max.depth | get the height (maximum depth) of a chain |
| mc.sim | run a markov model |
| MU284 | MU284 population |
| MU284.boot.res.summ | MU284 bootstrap summary results |
| MU284.estimator.fn | function used in unit tests for MU284 bootstrap resamples |
| MU284.surveys | MU284 bootstrap results |
| multiplicity.estimator | multiplicity.estimator |
| networkreporting | Network reporting estimators |
| nsum.estimator | nsum.estimator |
| nsum.internal.validation | nsum.internal.validation |
| package-networkreporting | Network reporting estimators |
| parent.data | Example game of contacts parents (nominators) |
| rds.boot.draw.chain | draw RDS bootstrap resamples for one chain |
| rds.chain.boot.draws | draw RDS bootstrap resamples |
| rds.mc.boot.draws | draw RDS bootstrap resamples using the algorithm in Salganik 2006, "Variance estimation..." |
| rdsII.estimator | rdsII.estimator |
| rescaled.bootstrap.sample | rescaled.bootstrap.sample |
| srs.bootstrap.sample | srs.bootstrap.sample |
| summation.degree.estimator | summation.degree.estimator |
| survey.data | Example game of contacts survey data |
| target.q | Names of ARD questions for hidden populations in example household survey data |
| tn1 | Toy network example number 1 |
| tn2 | Toy network example number 2 |
| tn3 | Toy network example number 3 |
| tn4 | Toy network example number 4 |
| tnr1 | Toy network with attributes, example number 1 |
| tnr2 | Toy network with attributes, example number 2 |
| tnr3 | Toy network with attributes, example number 3 |
| topcode.data | topcode a group of variables |
| topcode.var | topcode a vector of numerical values |
| tot.pop.size | Size of example total population |
| total.degree.estimator | total.degree |
| toy.networks | Toy network data |
| toy.nr.networks | Toy network response networks |