initial_region_prediction_pollyvote: Calculates prediction for each party on each day in each...
In pollyvote/pollyvoter: Aggregate Components, Calculate Forecasts and Determine Errors for Election Results.

Calculates prediction for each party on each day in each region from the data in the pollyvote container.

1 2	initial_region_prediction_pollyvote(pv, time_int = NULL, agg_fun = "mean", na_handle = "last", region = NULL)

`pv`	[`pollyvote`] the pollyvote object of which to get the prediction data from.
`agg_fun`	[`character(1)`] the name of the aggregation function to use, currently 'mean' and 'median' are supported
`na_handle`	[`character(1)`] specifies how NA values are handled in the data.
`region`	[`character(1)`] The region in which predictions are made. If the region is not existing in the pollyvote container, error is thrown. If [`NULL`], then the predictions are calculated in each region.
`time_int[date]`	the time interval for the prediction.

dataframe of predictions for a party on each day in each region.

pollyvote/pollyvoter documentation built on April 4, 2018, 8:18 p.m.

pollyvote/pollyvoter index

README.md

multxpert: Common Multiple Testing Procedures and Gatekeeping Procedures

networksis: Simulate Bipartite Graphs with Fixed Marginals Through Sequential Importance Sampling

rarhsmm: Regularized Autoregressive Hidden Semi Markov Model

saemix: Stochastic Approximation Expectation Maximization (SAEM) Algorithm

rebus: Build Regular Expressions in a Human Readable Way

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

As an Amazon Associate I earn from qualifying purchases.

Description