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 |