R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
nrba
View on CRAN: Click
here
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. Accessed 04 Jun. 2026.
Other packages that cited nrba R package
View nrba citation profile
Other R packages that nrba depends,
imports, suggests or enhances
Complete documentation for nrba
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
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
AMPLE
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management.
...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Finlay Scott (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
murphydiagram
Data and code for the paper by Ehm, Gneiting, Jordan and
Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Fabian Krueger (view profile)
golem
An opinionated framework for building a production-ready
'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Colin Fay (view profile)
crplyr
In order to facilitate analysis of datasets hosted on the Crunch
data platform ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Greg Freedman Ellis (view profile)
phers
Use phenotype risk scores based on linked clinical and genetic data
to study Mendelian disease and ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jake Hughey (view profile)
27,268
R Packages
233,548
Dependencies
72,590
Author Associations
27,205
Publication Badges
