run_TS: Run Changepoint Model on LDA + TimeSeries Data

In weecology/MATSS-LDATS: LDA_TS meta-analysis using MATSS

Description

Run the timeseries model from ldats on LDA models and time-series data.

Usage

run_TS(data, ldamodels, formulas = c("intercept", "time"),
  nchangepoints = 0:6, weighting = "proportional", control = list())

Arguments

data	The dataset, in the MATSS format. Including covariates & metadata.
ldamodels	The LDA model(s) produced by running run_LDA on the dataset.
formulas	Defaults to NULL. If nothing supplied, ~timename. If supplied, uses that.
nchangepoints	Vector of integers: which numbers of changepoints to try.
weighting	Weight samples equally or proportional to number of individuals captured. Defaults to 'proprotional'; any other value will weight samples equally.
control	A list of parameters to control the fitting of the Time Series model including the parallel tempering Markov Chain Monte Carlo (ptMCMC) controls. Values not input assume defaults set by TS_control.

Value

the changepoint model(s) resulting from running LDATS::TS_on_LDA.

weecology/MATSS-LDATS documentation built on Nov. 5, 2019, 12:07 p.m.