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  3. svrep

svrep0.9.1 package

Tools for Creating, Updating, and Analyzing Survey Replicate Weights

50 available

add_inactive_replicates

Add Inactive Replicates to a Survey Design Object

as_bootstrap_design

Convert Survey Design to Bootstrap Replicate Design

as_data_frame_with_weights

Convert Survey Design to Data Frame

as_fays_gen_rep_design

Convert Survey Design to Fay's Generalized Replication Design

as_gen_boot_design

Convert Survey Design to Generalized Bootstrap Replicate Design

as_random_group_jackknife_design

Convert Survey Design to Random Group Jackknife Replicate Design

as_sdr_design

Convert Survey Design to Successive Differences Replicate Design

assign_hadamard_rows

Row Assignment for Successive Difference Replication

calibrate_to_estimate

Sample-based Calibration to An Estimate

calibrate_to_sample

Sample-based Calibration with Replicates

compress_design

Produce a compressed representation of a survey design object

compute_eigen_decomposition

Compute the eigendecomposition of a matrix

distribute_matrix_across_clusters

Helper function to turn a cluster-level matrix into an element-level m...

draw_antal_tille_resample

Draw a replicate sample using the method of Antal and Tille (2014)

draw_doubled_half_sample

Draw a doubled half-sample

estimate_boot_reps_for_target_cv

Control Bootstrap Simulation Error

estimate_boot_sim_cv

Estimate Bootstrap Simulation Error

find_minimum_hadamard_order

Find the smallest Hadamard order available in the 'survey' package

get_design_quad_form

Quadratic Form Matrix of Variance Estimator for a Survey Design

get_nearest_psd_matrix

Positive Semidefinite Matrix Approximation

get_rep_scale_coefs

Access Replication Scale Coefficients

get_rep_type

Access Type of Replication Method

getvars

Get variables from a database

ht_matrix_to_joint_probs

Compute the matrix of joint inclusion probabilities from the quadratic...

is_psd_matrix

Check if Matrix is Positive Semidefinite

libraries

U.S. Public Libraries Survey

make_deville_tille_matrix

Create a quadratic form's matrix for a Deville-Tillé variance estimato...

make_doubled_half_bootstrap_weights

Weights for "Doubled Half Bootstrap" of Antal and Tillé (2014)

make_fays_gen_rep_factors

Factors for Fay's Generalized Replication Method

make_gen_boot_factors

Factors for the Generalized Survey Bootstrap

make_kernel_var_matrix

Quadratic Form Matrix of Kernel-based Variance Estimator

make_ppswor_approx_matrix

Create a quadratic form's matrix to represent a variance estimator for...

make_quad_form_matrix

Get Variance Estimator's Quadratic Form Matrix

make_rwyb_bootstrap_weights

Weights for Rao-Wu-Yue-Beaumont Bootstrap

make_sd_matrix

Create a quadratic form's matrix to represent a successive-difference ...

make_sdr_replicate_factors

Factors for the Successive Difference Replication Method

make_srswor_matrix

Create a quadratic form's matrix to represent the basic variance estim...

make_twophase_quad_form

Quadratic Form Matrix for a Two-phase Design

redistribute_weights

Weighting Class Adjustment

rescale_replicates

Rescale Replicate Factors

shift_weight

(Internal function) Shift weight from one set of cases to another

shuffle_replicates

Shuffle Order of Replicates in a Replicate Design Object

stack_replicate_designs

Combine Replicate Designs by Stacking

subsample_replicates

Subsample Replicates in a Replicate Design Object

summarize_rep_weights

Summarize Replicate Weights in a Replicate Design

svrep-package-options

Package-level Options for svrep

svrep-package

svrep: Tools for Creating, Updating, and Analyzing Survey Replicate We...

svyby_repwts

Survey Statistics for Multiple Replicate Design Objects

variance-estimators

Variance Estimators

wls_hat_matrix

Create the "hat matrix" for weighted least squares regression

Download source packageRead PDF manual

Provides tools for creating and working with survey replicate weights, extending functionality of the 'survey' package from Lumley (2004) <doi:10.18637/jss.v009.i08>. Implements bootstrap methods for complex surveys, including the generalized survey bootstrap as described by Beaumont and Patak (2012) <doi:10.1111/j.1751-5823.2011.00166.x>. Methods are provided for applying nonresponse adjustments to both full-sample and replicate weights as described by Rust and Rao (1996) <doi:10.1177/096228029600500305>. Implements methods for sample-based calibration described by Opsomer and Erciulescu (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021002/article/00006-eng.htm>. Diagnostic functions are included to compare weights and weighted estimates from different sets of replicate weights.

  • Maintainer: Ben Schneider
  • License: GPL (>= 3)
  • Last published: 2025-10-08

Useful links

  • https://github.com/bschneidr/svrep/issues
  • https://bschneidr.github.io/svrep/
  • https://github.com/bschneidr/svrep