tvprices

<p>Data from an experimental study where participants have to guess the price
of a plasma tv. There were two experimental conditions.
These data were simulated using the sufficient statistics from Janiszewski &amp;
Uy (2008).</p>

datasets

Implementation of default Bayes factors
for testing statistical hypotheses under various statistical models. The package is
intended for applied quantitative researchers in the
social and behavioral sciences, medical research,
and related fields. The Bayes factor tests can be
executed for statistical models such as
univariate and multivariate normal linear models,
correlation analysis, generalized linear models, special cases of
linear mixed models, survival models, relational
event models. Parameters that can be tested are
location parameters (e.g., group means, regression coefficients),
variances (e.g., group variances), and measures of
association (e.g,. polychoric/polyserial/biserial/tetrachoric/product
moments correlations), among others.
The statistical underpinnings are
described in
Mulder and Xin (2019) <DOI:10.1080/00273171.2021.1904809>,
Mulder and Gelissen (2019) <DOI:10.1080/02664763.2021.1992360>,
Mulder (2016) <DOI:10.1016/j.jmp.2014.09.004>,
Mulder and Fox (2019) <DOI:10.1214/18-BA1115>,
Mulder and Fox (2013) <DOI:10.1007/s11222-011-9295-3>,
Boeing-Messing, van Assen, Hofman, Hoijtink, and Mulder (2017) <DOI:10.1037/met0000116>,
Hoijtink, Mulder, van Lissa, and Gu, (2018) <DOI:10.31234/osf.io/v3shc>,
Gu, Mulder, and Hoijtink, (2018) <DOI:10.1111/bmsp.12110>,
Hoijtink, Gu, and Mulder, (2018) <DOI:10.1111/bmsp.12145>, and
Hoijtink, Gu, Mulder, and Rosseel, (2018) <DOI:10.1037/met0000187>. When using the
packages, please refer to Mulder et al. (2021) <DOI:10.18637/jss.v100.i18>.

Joris Mulder

BFpack

Flexible Bayes Factor Testing of Scientific Expectations

Caspar van Lissa

Donald R. Williams

Xin Gu

Anton Olsson-Collentine

Florian Boeing-Messing

Jean-Paul Fox

Janosch Menke

Robbie van Aert

Barry Brown

James Lovato

Kathy Russell

Lapack 3.8 

Jack Dongarra

Jim Bunch

Cleve Moler

Gilbert Stewart

John Burkandt

Ashwith Rego

Alexander Godunov

Alan Miller

Jean-Pierre Moreau

The R Core Team 

tvprices function

<p>A data.frame with 59 rows and 3 columns.</p>

Format

Precision of the Anchor Influences the Amount of Adjustment — tvprices

Precision of the Anchor Influences the Amount of Adjustment

price	`numeric`	Participant z-scores of price
anchor	`factor`	Participant anchor
motivation	`factor`	motivation to change

tvprices: Precision of the Anchor Influences the Amount of Adjustment

Description

Usage

Arguments

Format

Details

References