NHLmodel: Spatial model for NHL goal scoring probability
In jedalong/nhlmodelr:

Description Usage Arguments Details Value

Calculate spatial probability of NHL goal scoring based on shot location data.

1	NHLmodel(x, ngibbs, burnin, p.max, inits, outfile)

`x`	a dataframe, specifically, output from the function `shots2model`.
`ngibbs`	numeric, number of Gibbs samples to run the model for.
`burnin`	numeric, number of Gibbs samples to discard as burn-in.
`p.max`	numeric, tuning parameter indicating the maximum probability value at the goal (should be between 0 and 1).
`inits`	a dataframe containing values to initiate the Gibbs sampler (see details).
`outfile`	output path and filename (.RData) for storing the model results (8 objects; see details).

Will be expanded later on.

The function returns a dataframe with the posterior mean and variance of the model which can be used to map spatial variation in NHL goal scoring probabilities.

jedalong/nhlmodelr documentation built on May 25, 2019, 6:23 p.m.