Learn R Programming

RRTCS (version 0.0.4)

Randomized Response Techniques for Complex Surveys

Description

Point and interval estimation of linear parameters with data obtained from complex surveys (including stratified and clustered samples) when randomization techniques are used. The randomized response technique was developed to obtain estimates that are more valid when studying sensitive topics. Estimators and variances for 14 randomized response methods for qualitative variables and 7 randomized response methods for quantitative variables are also implemented. In addition, some data sets from surveys with these randomization methods are included in the package.

Copy Link

Version

Install

install.packages('RRTCS')

Monthly Downloads

207

Version

0.0.4

License

GPL (>= 2)

Maintainer

Beatriz Cobo Rodrguez

Last Published

April 21st, 2021

Functions in RRTCS (0.0.4)

ChaudhuriChristofidesData

Randomized Response Survey on agricultural subsidies
BarLevData

Randomized Response Survey on industrial company income
Christofides

Christofides model
Devore

Devore model
BarLev

BarLev model
ChaudhuriChristofidesDatapij

Matrix of the second-order inclusion probabilities
DevoreData

Randomized Response Survey on instant messaging
ChristofidesData

Randomized Response Survey on eating disorders
DianaPerri1

Diana-Perri-1 model
ChaudhuriChristofides

Chaudhuri-Christofides model
ForcedResponseData

Randomized Response Survey of a simulated population
EichhornHayreData

Randomized Response Survey on family income
Eriksson

Eriksson model
ErikssonData

Randomized Response Survey on student cheating
ForcedResponse

Forced-Response model
HorvitzDataRealSurvey

Randomized Response Survey on a sensitive questions
HorvitzDataStCl

Randomized Response Survey on infidelity
HorvitzUBData

Randomized Response Survey on drugs use
HorvitzUB

Horvitz-UB model
RRTCS-internal

Internal RRTCS Functions
HorvitzData

Randomized Response Survey on student bullying
ForcedResponseDataSt

Randomized Response Survey on infertility
MangatSinghSinghData

Randomized Response Survey on internet betting
ResamplingVariance

Resampling variance of randomized response models
Horvitz

Horvitz model
DianaPerri1Data

Randomized Response Survey on defrauded taxes
Mangat

Mangat model
DianaPerri2

Diana-Perri-2 model
MangatSingh

Mangat-Singh model
Saha

Saha model
DianaPerri2Data

Randomized Response Survey of a simulated population
MangatSinghSinghUBData

Randomized Response Survey on overuse of the internet
MangatUB

Mangat-UB model
SahaData

Randomized Response Survey on spending on alcohol
SinghJoarder

Singh-Joarder model
MangatSinghData

Randomized Response Survey on cannabis use
KukData

Randomized Response Survey on excessive sexual activity
MangatSinghSingh

Mangat-Singh-Singh model
EichhornHayre

Eichhorn-Hayre model
Kuk

Kuk model
WarnerData

Randomized Response Survey on alcohol abuse
RRTCS-package

Randomized Response Techniques for Complex Surveys
MangatSinghSinghUB

Mangat-Singh-Singh-UB model
SoberanisCruzData

Randomized Response Survey on speeding
Warner

Warner model
SinghJoarderData

Randomized Response Survey on compulsive spending
SoberanisCruz

SoberanisCruz model