Package index

All functions

cross_fun()

Calculation of the voter turnout difference between two votes

double_mad()

Get the left and right Median Absolute Deviations (MAD) from the median for asymmetric distributions

double_mad_from_median()

Calculate the distance of a value from the median of a distribution in relation to its Median Absolute Deviation (MAD)

get_differences()

Calculation of the voter turnout difference between multiple votes

is_outlier_double_mad()

Detect outliers using MAD from the median for asymmetric distributions

is_outlier_single_mad()

Detect outliers using Z-score with MAD for symmetric distributions

is_outlier_turkey()

Detect outliers using turkey's fences

is_outlier_z()

Detect outliers using classic Z-scores for symmetric distributions

outlier_range()

Get boundaries beyond which a value is an outlier via MAD from the median for asymmetric distributions and IQR

predict_single_vote()

Run prediction for one vote

predict_votes()

Run predictions for multiple votes

result_data

Test data containing results for national votes from the canton of Zurich for all Sundays from 2017-03-01 to 2020-09-27.

rmse()

Calculate RMSE

train_prediction_model()

Train model for prediction of one vote

vote_data

Test data containing past results and incomplete results for two votes.