format_data: Format data for fitting a glmmfields model

In glmmfields: Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling

Format data for fitting a glmmfields model

Description

Format data for fitting a glmmfields model

Usage

format_data(
  data,
  y,
  X,
  time,
  lon = "lon",
  lat = "lat",
  station = NULL,
  nknots = 25L,
  covariance = c("squared-exponential", "exponential", "matern"),
  fixed_intercept = FALSE,
  cluster = c("pam", "kmeans")
)

Arguments

data	A data frame to be formatted
y	A numeric vector of the response
X	A matrix of the predictors
time	A character object giving the name of the time column
lon	A character object giving the name of the longitude column
lat	A character object giving the name of the latitude column
station	A numeric vector giving the integer ID of the station
nknots	The number of knots
covariance	The type of covariance function
fixed_intercept	Should the intercept be fixed?
cluster	The type of clustering algorithm used to determine the not locations. "pam" = pam. kmeans is faster for large datasets.

glmmfields documentation built on Oct. 21, 2023, 1:06 a.m.