Tools for using network reporting estimators.


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Documentation for package ‘networkreporting’ version 0.0.1

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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