slope_analysis_ssvs: Analyse slope
In samaperrin/analyseslope: Analysis of Slope as Fish Dispersal Barrier

Function performs Bayesian analysis on the relationship between a slope parameter and the presence/absence of a fish species. This function also introduces an ssvs component, reducing the parameter effect of parameters which don't have too much impact on the model.

slope_analysis_ssvs(upstream_slopes_test, parameters_for_analysis, species,
  include.distance = FALSE, just.distance = FALSE, scale = FALSE,
  interaction = FALSE, n.iter = 10000, n.thin = 10, n.burn = 2000,
  n.chai = 3, n.upda = 20000, to.monitor = c("beta", "p", "ssvs.ind"))

`upstream_slopes_test`	Table derived from the extract_slope_params function.
`parameters_for_analysis`	All slope parameters that you want to be evaluated. Note that these do not have to be all of the parameters in your upstream_slopes_test table.
`species`	Species to analyse
`include.distance`	Defines whether or not your analysis should include distance between focal lakes as well as slope
`just.distance`	Defines whether or not you just want to analyse distance between focal lakes
`interaction`	Specifies whether or not you want to include the interaction term in your model
`n.iter`	All of these parameters (n.iter, n.burn, n.thin, n.chai and n.upda) concern your MCMC sampling. Defaults are 10000, 2000, 10, 3 and 20000, respectively.

A) A summary table showing the means and confidence interval for the beta values of the effects of each slope parameter and distance between focal lakes on fish presence/absence and B) Full Bayesian analysis for each parameter.

samaperrin/analyseslope documentation built on Jan. 8, 2020, 9:19 p.m.