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nrba
View on CRAN: Click
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Download and install nrba package within the R console
Install from CRAN:
install.packages("nrba")
Install from Github:
library("remotes")
install_github("cran/nrba")
Install by package version:
library("remotes")
install_version("nrba", "0.3.1")
Attach the package and use:
library("nrba")
Maintained by
Ben Schneider
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-23
Latest Update: 2023-11-21
Description:
Facilitates nonresponse bias analysis (NRBA)
for survey data. Such data may arise from a complex
sampling design with features such as stratification, clustering, or
unequal probabilities of selection. Multiple types of analyses may be
conducted: comparisons of response rates across subgroups; comparisons
of estimates before and after weighting adjustments; comparisons of
sample-based estimates to external population totals; tests of
systematic differences in covariate means between respondents
and full samples; tests of independence between response status
and covariates; and modeling of outcomes and response status as a
function of covariates. Extensive documentation and references are
provided for each type of analysis. Krenzke, Van de Kerckhove,
and Mohadjer (2005)
and Lohr and Riddles (2016)
provide an overview of the methods implemented in this package.
How to cite:
Ben Schneider (2023). nrba: Methods for Conducting Nonresponse Bias Analysis (NRBA). R package version 0.3.1, https://cran.r-project.org/web/packages/nrba
Other packages that cited nrba R package
View nrba citation profile
Other R packages that nrba depends,
imports, suggests or enhances
Functions, R codes and Examples using
the nrba R package
Some associated functions: assess_range_of_bias . calculate_response_rates . chisq_test_ind_response . chisq_test_vs_external_estimate . get_cumulative_estimates . get_variance_method . involvement_survey_pop . involvement_survey_srs . involvement_survey_str2s . nrba-package . pipe . predict_outcome_via_glm . predict_response_status_via_glm . rake_to_benchmarks . stepwise_model_selection . t_test_by_response_status . t_test_of_weight_adjustment . t_test_overlap . t_test_vs_external_estimate . wt_class_adjust .
Some associated R codes: calculate_response_rates.R . chisq_test_ind_response.R . chisq_test_vs_external_estimates.R . data-involvement-survey.R . get_cumulative_estimates.R . get_variance_method.R . nonresponse_weighting_adjustments.R . nrba-package.R . predict_outcome_via_glm.R . predict_response_status_via_glm.R . rake_to_benchmarks.R . range_of_bias.R . stepwise-selection.R . t_test_by_response_status.R . t_test_of_weight_adjustment.R . t_test_overlap.R . t_test_vs_external_estimate.R . utils-pipe.R . Full nrba package functions and examples
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