Survey regression models
- linear regression
- logistic regression
- multinomial logistic regression
- negative binomial regression
- ordered logistic regression
- probit regression
- ordered probit regression
- Poisson regression
- censored and interval regression
- instrumental variables regression
- Heckman selection model
- Probit estimation with selection
Variance and standard error estimates
- Taylor-series linearization (Huber/White/sandwich)
- balanced and repeated replications (BRR)
- survey jackknife
Sampling designs
- sampling (probability) weights
- stratification
- clustering
- multistage designs
- finite population correction in all stages
Features
- design effects
- misspecification effects
- effects for linear combinations
- estimate linear/nonlinear combinations of parameters
- hypotheses tests for survey data
- poststratification
- estimation with linear constraints
|
|
Summary statistics
- population and subpopulation means
- population and subpopulation proportions
- population and subpopulation ratios
- population and subpopulation totals
- provide full covariance estimates across subpopulations
Summary tables
- two-way contingency tables with tests of independence
- one-way tables
- table describing the sampling design of survey data
Marginal effects
- marginal effects and elasticities
- standard errors and confidence intervals
- computed at means or specified covariate values
- computed for any predicted statistic
Maximum pseudolikelihood estimation
- user-defined likelihoods
- survey characteristics automatically handled
|
