corrfactor_continuous_sparse: A function to calculate the necessary information to apply...
In JeremyGelb/spNetwork: Spatial Analysis on Network
corrfactor_continuous_sparse R Documentation
A function to calculate the necessary information to apply the
Diggle correction factor with a continuous method (sparse)
Description
A function to calculate the necessary information to apply the
Diggle correction factor with a continuous method (sparse)
Usage
corrfactor_continuous_sparse(neighbour_list, events, line_list, bws, max_depth)
Arguments
neighbour_list
a list of the neighbours of each node
events
a numeric vector of the node id of each event
line_list
a DataFrame representing the lines of the graph
bws
the kernel bandwidth for each event
max_depth
the maximum recursion depth (after which recursion is stopped)
Value
a list of dataframes, used to calculate the Diggel correction factor
JeremyGelb/spNetwork documentation built on May 24, 2024, 7:23 p.m.
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| corrfactor_continuous_sparse | R Documentation |
A function to calculate the necessary information to apply the Diggle correction factor with a continuous method (sparse)
Description
A function to calculate the necessary information to apply the Diggle correction factor with a continuous method (sparse)
Usage
corrfactor_continuous_sparse(neighbour_list, events, line_list, bws, max_depth)
Arguments
neighbour_list |
a list of the neighbours of each node |
events |
a numeric vector of the node id of each event |
line_list |
a DataFrame representing the lines of the graph |
bws |
the kernel bandwidth for each event |
max_depth |
the maximum recursion depth (after which recursion is stopped) |
Value
a list of dataframes, used to calculate the Diggel correction factor
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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