From 747d9b0d06bd90285062ba4518dbc84ed0c971fc Mon Sep 17 00:00:00 2001 From: Daniel Date: Tue, 1 Oct 2024 22:02:31 +0200 Subject: [PATCH] docs --- R/1_model_parameters.R | 13 +++++++++---- man/equivalence_test.lm.Rd | 13 +++++++++---- man/model_parameters.Rd | 13 +++++++++---- man/p_direction.lm.Rd | 13 +++++++++---- man/p_significance.lm.Rd | 13 +++++++++---- 5 files changed, 45 insertions(+), 20 deletions(-) diff --git a/R/1_model_parameters.R b/R/1_model_parameters.R index 1c12f4168..ad69ad6e8 100644 --- a/R/1_model_parameters.R +++ b/R/1_model_parameters.R @@ -289,10 +289,15 @@ #' but clinically or practically irrelevant (*Lakens et al. 2018, Lakens 2024*). #' #' A rather unconventional approach, which is nevertheless advocated by various -#' authors, is to interpret results from classical regression models in terms of -#' probabilities, similar to the usual approach in Bayesian statistics -#' (*Greenland et al. 2022; Rafi and Greenland 2020; Schweder 2018; Schweder and -#' Hjort 2003; Vos 2022*). +#' authors, is to interpret results from classical regression models either in +#' terms of probabilities, similar to the usual approach in Bayesian statistics +#' (*Schweder 2018; Schweder and Hjort 2003; Vos 2022*) or in terms of relative +#' measure of "evidence" or "compatibility" with the data (*Greenland et al. 2022; +#' Rafi and Greenland 2020*), which nevertheless comes close to a probabilistic +#' interpretation. +#' +#' A more detailed discussion of this topic is found in the documentation of +#' [`p_function()`]. #' #' The **parameters** package provides several options or functions to aid #' statistical inference. These are, for example: diff --git a/man/equivalence_test.lm.Rd b/man/equivalence_test.lm.Rd index 3dfdbc0fb..048468768 100644 --- a/man/equivalence_test.lm.Rd +++ b/man/equivalence_test.lm.Rd @@ -239,10 +239,15 @@ being considered relevant simply because they are statistically significant, but clinically or practically irrelevant (\emph{Lakens et al. 2018, Lakens 2024}). A rather unconventional approach, which is nevertheless advocated by various -authors, is to interpret results from classical regression models in terms of -probabilities, similar to the usual approach in Bayesian statistics -(\emph{Greenland et al. 2022; Rafi and Greenland 2020; Schweder 2018; Schweder and -Hjort 2003; Vos 2022}). +authors, is to interpret results from classical regression models either in +terms of probabilities, similar to the usual approach in Bayesian statistics +(\emph{Schweder 2018; Schweder and Hjort 2003; Vos 2022}) or in terms of relative +measure of "evidence" or "compatibility" with the data (\emph{Greenland et al. 2022; +Rafi and Greenland 2020}), which nevertheless comes close to a probabilistic +interpretation. + +A more detailed discussion of this topic is found in the documentation of +\code{\link[=p_function]{p_function()}}. The \strong{parameters} package provides several options or functions to aid statistical inference. These are, for example: diff --git a/man/model_parameters.Rd b/man/model_parameters.Rd index 3cedcfafb..c5992cb58 100644 --- a/man/model_parameters.Rd +++ b/man/model_parameters.Rd @@ -334,10 +334,15 @@ being considered relevant simply because they are statistically significant, but clinically or practically irrelevant (\emph{Lakens et al. 2018, Lakens 2024}). A rather unconventional approach, which is nevertheless advocated by various -authors, is to interpret results from classical regression models in terms of -probabilities, similar to the usual approach in Bayesian statistics -(\emph{Greenland et al. 2022; Rafi and Greenland 2020; Schweder 2018; Schweder and -Hjort 2003; Vos 2022}). +authors, is to interpret results from classical regression models either in +terms of probabilities, similar to the usual approach in Bayesian statistics +(\emph{Schweder 2018; Schweder and Hjort 2003; Vos 2022}) or in terms of relative +measure of "evidence" or "compatibility" with the data (\emph{Greenland et al. 2022; +Rafi and Greenland 2020}), which nevertheless comes close to a probabilistic +interpretation. + +A more detailed discussion of this topic is found in the documentation of +\code{\link[=p_function]{p_function()}}. The \strong{parameters} package provides several options or functions to aid statistical inference. These are, for example: diff --git a/man/p_direction.lm.Rd b/man/p_direction.lm.Rd index 6f93f58c8..e7e74d8e7 100644 --- a/man/p_direction.lm.Rd +++ b/man/p_direction.lm.Rd @@ -146,10 +146,15 @@ being considered relevant simply because they are statistically significant, but clinically or practically irrelevant (\emph{Lakens et al. 2018, Lakens 2024}). A rather unconventional approach, which is nevertheless advocated by various -authors, is to interpret results from classical regression models in terms of -probabilities, similar to the usual approach in Bayesian statistics -(\emph{Greenland et al. 2022; Rafi and Greenland 2020; Schweder 2018; Schweder and -Hjort 2003; Vos 2022}). +authors, is to interpret results from classical regression models either in +terms of probabilities, similar to the usual approach in Bayesian statistics +(\emph{Schweder 2018; Schweder and Hjort 2003; Vos 2022}) or in terms of relative +measure of "evidence" or "compatibility" with the data (\emph{Greenland et al. 2022; +Rafi and Greenland 2020}), which nevertheless comes close to a probabilistic +interpretation. + +A more detailed discussion of this topic is found in the documentation of +\code{\link[=p_function]{p_function()}}. The \strong{parameters} package provides several options or functions to aid statistical inference. These are, for example: diff --git a/man/p_significance.lm.Rd b/man/p_significance.lm.Rd index 55c9d10d6..e4858e775 100644 --- a/man/p_significance.lm.Rd +++ b/man/p_significance.lm.Rd @@ -149,10 +149,15 @@ being considered relevant simply because they are statistically significant, but clinically or practically irrelevant (\emph{Lakens et al. 2018, Lakens 2024}). A rather unconventional approach, which is nevertheless advocated by various -authors, is to interpret results from classical regression models in terms of -probabilities, similar to the usual approach in Bayesian statistics -(\emph{Greenland et al. 2022; Rafi and Greenland 2020; Schweder 2018; Schweder and -Hjort 2003; Vos 2022}). +authors, is to interpret results from classical regression models either in +terms of probabilities, similar to the usual approach in Bayesian statistics +(\emph{Schweder 2018; Schweder and Hjort 2003; Vos 2022}) or in terms of relative +measure of "evidence" or "compatibility" with the data (\emph{Greenland et al. 2022; +Rafi and Greenland 2020}), which nevertheless comes close to a probabilistic +interpretation. + +A more detailed discussion of this topic is found in the documentation of +\code{\link[=p_function]{p_function()}}. The \strong{parameters} package provides several options or functions to aid statistical inference. These are, for example: