get_default_kernel_components: Get default kernel functions based on a brief look at the...
In reichlab/kcde: Kernel conditional density estimation with flexible kernel specifications

Get default kernel functions based on a brief look at the data. This is unreliable. Update to return periodic_kernel if X_names[i] == time_name?

1	get_default_kernel_components(X_names, y_names, data)

`X_names`	a character vector of length >= 1 containing names of variables in the data data frame to use in forming the lagged observation process used for calculating weights
`y_names`	a character vector of length 1 containing the name of the variable in the data data frame to use as the target for prediction
`data`	a data frame where rows are consecutive observations
`time_name`	(optional) a character vector of length 1 containing the name of the variable in the data data frame to use as the time.

a list of default parameters for kernel components – probably all bad

reichlab/kcde documentation built on May 27, 2019, 4:53 a.m.

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README.md The kcde package

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