BW2stagePPS |
Relvariance components for 2-stage sample |
BW2stagePPSe |
Estimated relvariance components for 2-stage sample |
BW2stageSRS |
Relvariance components for 2-stage sample |
BW3stagePPS |
Relvariance components for 3-stage sample |
BW3stagePPSe |
Estimated relvariance components for 3-stage sample |
clusOpt2 |
Compute optimal sample sizes for a two-stage sample |
clusOpt2fixedPSU |
Optimal number of sample elements per PSU in a two-stage sample when the sample of PSUs is fixed |
clusOpt3 |
Compute optimal sample sizes for a three-stage sample |
clusOpt3fixedPSU |
Compute optimal number of sample secondary sampling units (SSUs) and elements per SSU for a fixed set of primary sampling units (PSUs) in a three-stage sample |
CompMOS |
Compute a composite measure of size for domain-based two-stage sampling |
CVcalc2 |
Coefficient of variation of an estimated total in a 2-stage sample |
CVcalc3 |
Coefficient of variation of an estimated total in a 3-stage sample |
deff |
Design effects of various types |
deffCR |
Chen-Rust design effect |
deffH |
Henry design effect for _pps_ sampling and GREG estimation of totals |
deffK |
Kish design effect |
deffS |
Spencer design effect for an estimated total from a _pps_ sample |
Domainy1y2 |
Domain data |
dub |
Sample sizes for a double sampling design |
gamEst |
Estimate variance model parameter gamma |
gammaFit |
Iteratively estimate variance model parameter gamma |
GeoDistMOS |
Split geographic PSUs based on a measure of size threshold |
GeoDistPSU |
Form PSUs based on geographic distances |
GeoMinMOS |
Check geographic PSUs to determine whether any are less than minimum measure of size threshold |
HMT |
Generate an HMT population |
hospital |
Hospital Data |
labor |
Labor force population |
MDarea.popA |
Maryland area population |
mibrfss |
Michigan Behavioral Risk Factor Surveillance Survey |
nAuditAttr |
Sample sizes for an attribute sample in an audit |
nAuditMUS |
Sample sizes for a Monetary Unit Sample in an audit |
nCont |
Compute a simple random sample size for an estimated mean |
nContMoe |
Compute a simple random sample size for an estimated mean of a continuous variable based on margin of error |
nContOpt |
Compute the sample size required to estimate the mean of a continuous variable by optimizing the numbers of take-alls and non-take-all units selected by probability sampling |
nDep2sam |
Simple random sample size for difference in means |
nDomain |
Compute a simple random sample size for an estimated mean or total for a domain |
nEdge |
Compute the total sample size for a stratified, simple random sample based on an Edgeworth approximation |
nEdgeSRS |
Compute the total sample size for a simple random sample based on an Edgeworth approximation |
nhis |
National Health Interview Survey: Demographic variables |
nhis.large |
National Health Interview Survey: Demographic and health variables |
nhispart |
National Health Interview Survey data from 2003: socioeconomic variables |
nLogOdds |
Calculate simple random sample size for estimating a proportion |
nPPS |
Calculate the sample size for a probability proportional to size (PPS) sample |
nProp |
Compute simple random sample size for estimating a proportion |
nProp2sam |
Simple random sample size for difference in proportions |
nPropMoe |
Simple random sample size for a proportion based on margin of error |
NRadjClass |
Class-based nonresponse adjustments |
NRFUopt |
Sample sizes for a nonresponse follow-up study |
nWilson |
Calculate a simple random sample size for estimating a proportion |
pclass |
Form nonresponse adjustment classes based on propensity scores |
quad_roots |
Compute the roots of a quadratic equation |
smho.N874 |
Survey of Mental Health Organizations Data |
smho98 |
Survey of Mental Health Organizations Data |
strAlloc |
Allocate a sample to strata |
Test_Data_US |
Accounting data for some US cities with latitude and longitude of the city centroids |
ThirdGrade |
Third grade population |
TPV |
TPV Data |
unitVar |
Compute the unit (population) variance for a variable |
wtd.moments |
Compute moments of a variable from either a population or sample |
wtdvar |
Compute weighted variance |