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Survey plan profiles

Reusable design defaults for survey planning.

svyplan() update(<svyplan>)
Survey Plan Profile

Sample size determination

Compute required sample sizes for different designs.

n_prop()
Sample Size for a Proportion
n_mean()
Sample Size for a Mean
n_cluster()
Optimal Multistage Cluster Allocation
n_multi()
Multi-Indicator Sample Size
n_alloc()
Constrained Stratified Allocation

Precision analysis

Evaluate sampling precision for a given design.

prec_prop()
Sampling Precision for a Proportion
prec_mean()
Sampling Precision for a Mean
prec_cluster()
Sampling Precision for a Multistage Cluster Allocation
prec_multi()
Multi-Indicator Sampling Precision
prec_alloc()
Precision for a Constrained Allocation

Power analysis

Statistical power for two-sample tests.

power_prop()
Power Analysis for Proportions
power_mean()
Power Analysis for Means
power_did()
Power Analysis for Difference-in-Differences Designs

Variance components

Estimate variance components from frame data.

varcomp()
Estimate Variance Components

Stratification

Optimal strata boundary determination.

strata_bound()
Optimal Strata Boundaries
predict(<svyplan_strata>)
Assign Observations to Strata

Design effects

Estimate design effects and effective sample sizes.

design_effect()
Design Effect
effective_n()
Effective Sample Size

Format and display svyplan objects.

Predict methods

Grid exploration for svyplan objects.

Plot methods

Plot svyplan objects.