Description Usage Arguments Details Examples
This function can be used on a fitted idealstan
object to plot the over-time variances
(average rates of change in ideal points) for all the persons/legislators in the model.
1 2 3 4 5 |
object |
A fitted |
return_data |
If true, the calculated legislator/bill data is returned along with the plot in a list |
include |
Specify a list of person/legislator IDs to include in the plot (all others excluded) |
high_limit |
The quantile (number between 0 and 1) for the high end of posterior uncertainty to show in plot |
low_limit |
The quantile (number between 0 and 1) for the low end of posterior uncertainty to show in plot |
text_size_label |
ggplot2 text size for legislator labels |
text_size_group |
ggplot2 text size for group text used for points |
point_size |
If |
hjust_length |
horizontal adjustment of the legislator labels |
person_labels |
if |
group_labels |
if |
person_ci_alpha |
The transparency level of the dot plot and confidence bars for the person ideal points |
group_color |
If |
... |
Other options passed on to plotting function, currently ignored |
This function will plot the person/legislator over-time variances as a vertical
dot plot with associated high-density posterior interval (can be changed
with high_limit
and low_limit
options).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | # To demonstrate, we load the 114th Senate data and fit a time-varying model
data('senate114_fit')
## Not run:
senate_data <- id_make(senate114,outcome = 'cast_code',
person_id = 'bioname',
item_id = 'rollnumber',
group_id= 'party_code',
time_id='date',
miss_val='Absent')
senate114_time_fit <- id_estimate(senate_data,
model_type = 2,
use_vb = T,
fixtype='vb_partial',
vary_ideal_pts='random_walk',
restrict_ind_high = "WARREN, Elizabeth",
restrict_ind_low="BARRASSO, John A.",
seed=84520)
# We plot the variances for all the Senators
id_plot_legis_var(senate114_fit)
## End(Not run)
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