vctrs_methods_posterior_diff: Extra methods for the 'posterior_diff' class to work with...

In tidyposterior: Bayesian Analysis to Compare Models using Resampling Statistics

Extra methods for the posterior_diff class to work with dplyr verbs

Description

Objects with class posterior_diff are defined to be tibbles with required columns difference (numeric) and character columns model_1, model_2, and contrast. If operations on these objects break those rules, they are down-cast to basic tibbles.

Usage

vec_restore.posterior_diff(x, to, ...)

vec_proxy.posterior_diff(x, ...)

vec_ptype2.posterior_diff.posterior_diff(x, y, ..., x_arg = "", y_arg = "")

vec_ptype2.posterior_diff.tbl_df(x, y, ..., x_arg = "", y_arg = "")

vec_ptype2.tbl_df.posterior_diff(x, y, ..., x_arg = "", y_arg = "")

vec_ptype2.posterior_diff.data.frame(x, y, ..., x_arg = "", y_arg = "")

vec_ptype2.data.frame.posterior_diff(x, y, ..., x_arg = "", y_arg = "")

vec_cast.posterior_diff.posterior_diff(x, to, ..., x_arg = "", to_arg = "")

vec_cast.posterior_diff.tbl_df(x, to, ..., x_arg = "", to_arg = "")

vec_cast.tbl_df.posterior_diff(x, to, ..., x_arg = "", to_arg = "")

vec_cast.posterior_diff.data.frame(x, to, ..., x_arg = "", to_arg = "")

vec_cast.data.frame.posterior_diff(x, to, ..., x_arg = "", to_arg = "")

tidyposterior documentation built on Oct. 12, 2023, 1:07 a.m.