Package index
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n_prop() - Sample Size for a Proportion
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n_mean() - Sample Size for a Mean
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n_cluster() - Optimal Multistage Cluster Allocation
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n_multi() - Multi-Indicator Sample Size
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prec_prop() - Sampling Precision for a Proportion
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prec_mean() - Sampling Precision for a Mean
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prec_cluster() - Sampling Precision for a Multistage Cluster Allocation
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prec_multi() - Multi-Indicator Sampling Precision
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power_prop() - Power Analysis for Proportions
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power_mean() - Power Analysis for Means
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varcomp() - Estimate Variance Components
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strata_bound() - Optimal Strata Boundaries
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predict(<svyplan_strata>) - Assign Observations to Strata
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design_effect() - Design Effect
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effective_n() - Effective Sample Size
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print(<svyplan_n>)print(<svyplan_cluster>)print(<svyplan_prec>)print(<svyplan_varcomp>)print(<svyplan_power>)format(<svyplan_n>)format(<svyplan_cluster>)format(<svyplan_prec>)format(<svyplan_varcomp>)format(<svyplan_power>)summary(<svyplan_n>)summary(<svyplan_cluster>)summary(<svyplan_prec>)summary(<svyplan_varcomp>)summary(<svyplan_power>)confint(<svyplan_n>)confint(<svyplan_prec>)as.integer(<svyplan_n>)as.double(<svyplan_n>)as.integer(<svyplan_cluster>)as.double(<svyplan_cluster>)as.integer(<svyplan_power>)as.double(<svyplan_power>)print(<svyplan_strata>)format(<svyplan_strata>)summary(<svyplan_strata>)as.data.frame(<svyplan_strata>)as.integer(<svyplan_strata>)as.double(<svyplan_strata>) - Print svyplan objects
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predict(<svyplan_n>)predict(<svyplan_cluster>)predict(<svyplan_power>)predict(<svyplan_prec>) - Grid Exploration for svyplan Objects
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plot(<svyplan_strata>)plot(<svyplan_power>) - Plot svyplan objects