jennings

A dataset of survey marginals from the British Social Attitudes (BSA) survey,
measuring public trust in government. These marginals are commonly used as
input to the Dyad Ratios Algorithm for constructing latent time series. We 
replaced missing sample sizes with a value of 850, which is roughly the minimum
sample size observed in the data.

datasets

Estimates the Dyad Ratios Algorithm for pooling and smoothing poll estimates. The Dyad Ratios Algorithm smooths both forward and backward in time over polling results allowing differences in both question type and polling house. The result is an estimate of a single latent variable that describes the systematic trend over time in the (noisy) polling results. See James A. Stimson (2018) <doi:10.1177/0759106318761614> and the package's vignette for more details.

Dave Armstrong

DyadRatios

Dyad Ratios Algorithm

James Stimson

jennings function

A data frame with 4 variables and `r nrow(jennings)` rows:<dl>
 <dt>variable</dt>
<dd>Character string identifying the survey question or series.</dd> <dt>date</dt>
<dd>Date the survey was fielded.</dd> <dt>value</dt>
<dd>percentage of people indicating distrust in the government.</dd> <dt>n</dt>
<dd>Sample size for the survey wave.</dd>
</dl>

Format

Jennings Government Trust Data — jennings

A data frame with 4 variables and `r nrow(jennings)` rows:<dl>
 <dt>variable</dt>
<dd>Character string identifying the survey question or series.</dd>

 <dt>date</dt>
<dd>Date the survey was fielded.</dd>

 <dt>value</dt>
<dd>percentage of people indicating distrust in the government.</dd>

 <dt>n</dt>
<dd>Sample size for the survey wave.</dd>


</dl>

jennings: Jennings Government Trust Data

Description

Arguments

Format

Examples