From f003f14b390e652e4c57963b0a9368ac875b3773 Mon Sep 17 00:00:00 2001 From: Ven Popov Date: Mon, 25 Mar 2024 21:35:17 +0100 Subject: [PATCH] fix links to vignettes --- R/bmm_model_sdmSimple.R | 2 +- R/distributions.R | 4 ++-- R/helpers-parameters.R | 2 +- README.Rmd | 2 +- README.md | 2 +- man/SDM.Rd | 2 +- man/SDMdist.Rd | 4 ++-- man/c_parametrizations.Rd | 2 +- man/figures/README-unnamed-chunk-4-1.png | Bin 6098 -> 29908 bytes vignettes/articles/bmm_vwm_crt.Rmd | 8 ++++---- vignettes/bmm_bmmformula.Rmd | 2 +- 11 files changed, 15 insertions(+), 15 deletions(-) diff --git a/R/bmm_model_sdmSimple.R b/R/bmm_model_sdmSimple.R index 0ed49e18..5dcf130c 100644 --- a/R/bmm_model_sdmSimple.R +++ b/R/bmm_model_sdmSimple.R @@ -49,7 +49,7 @@ #' @title `r .model_sdmSimple()$name` #' @name SDM -#' @details see `vignette("sdm-simple")` for a detailed description of the model +#' @details see `vignette("bmm_sdm_simple")` for a detailed description of the model #' and how to use it. #' `r model_info(.model_sdmSimple())` #' @param resp_err The name of the variable in the dataset containing the diff --git a/R/distributions.R b/R/distributions.R index 3728abe6..c249d620 100644 --- a/R/distributions.R +++ b/R/distributions.R @@ -16,7 +16,7 @@ #' @param kappa Vector of precision values #' @param log Logical; if `TRUE`, values are returned on the log scale. #' @param parametrization Character; either `"bessel"` or `"sqrtexp"` -#' (default). See `vignette("sdm-simple")` for details on the +#' (default). See `vignette("bmm_sdm_simple")` for details on the #' parameterization. #' @param log.p Logical; if `TRUE`, probabilities are returned on the log #' scale. @@ -36,7 +36,7 @@ #' #' @details **Parametrization** #' -#' See `vignette("sdm-simple")` for details on the parameterization. +#' See `vignette("bmm_sdm_simple")` for details on the parameterization. #' Oberauer (2023) introduced the SDM with the bessel parametrization. The #' sqrtexp parametrization is the default in the `bmm` package for #' numerical stability and efficiency. The two parametrizations are related by diff --git a/R/helpers-parameters.R b/R/helpers-parameters.R index f363f581..86422b1b 100644 --- a/R/helpers-parameters.R +++ b/R/helpers-parameters.R @@ -43,7 +43,7 @@ k2sd <- function(K) { #' `c_sqrtexp2bessel` converts from the sqrtexp parametrization to the #' bessel parametrization. #' @keywords transform -#' @details See `vignette("sdm-simple")` for details on the +#' @details See `vignette("bmm_sdm_simple")` for details on the #' parameterization. The sqrtexp parametrization is the default in the #' `bmm` package. #' @export diff --git a/README.Rmd b/README.Rmd index 549524aa..25b1d612 100644 --- a/README.Rmd +++ b/README.Rmd @@ -179,7 +179,7 @@ data <- OberauerLin_2017 For this quick example, we will show how to setup fitting the Interference Measurement Model to this data. If you want a detailed description of this model and and in depth explanation of the parameters estimated in the model, please -have a look at `vignette("IMM")`. +have a look at `vignette("bmm_imm")`. ``` r model_formula <- bmmformula(c ~ 0 + set_size, diff --git a/README.md b/README.md index 6add01ec..8f8c8afa 100644 --- a/README.md +++ b/README.md @@ -196,7 +196,7 @@ data <- OberauerLin_2017 For this quick example, we will show how to setup fitting the Interference Measurement Model to this data. If you want a detailed description of this model and and in depth explanation of the parameters -estimated in the model, please have a look at `vignette("IMM")`. +estimated in the model, please have a look at `vignette("bmm_imm")`. ``` r model_formula <- bmmformula(c ~ 0 + set_size, diff --git a/man/SDM.Rd b/man/SDM.Rd index 2ddf8c2f..3cb3a01e 100644 --- a/man/SDM.Rd +++ b/man/SDM.Rd @@ -25,7 +25,7 @@ An object of class \code{bmmmodel} Signal Discrimination Model (SDM) by Oberauer (2023) } \details{ -see \code{vignette("sdm-simple")} for a detailed description of the model +see \code{vignette("bmm_sdm_simple")} for a detailed description of the model and how to use it. \itemize{ \item \strong{Domain:} Visual working memory diff --git a/man/SDMdist.Rd b/man/SDMdist.Rd index f606d79d..301f306f 100644 --- a/man/SDMdist.Rd +++ b/man/SDMdist.Rd @@ -37,7 +37,7 @@ rsdm(n, mu = 0, c = 3, kappa = 3.5, parametrization = "sqrtexp") \item{log}{Logical; if \code{TRUE}, values are returned on the log scale.} \item{parametrization}{Character; either \code{"bessel"} or \code{"sqrtexp"} -(default). See \code{vignette("sdm-simple")} for details on the +(default). See \code{vignette("bmm_sdm_simple")} for details on the parameterization.} \item{q}{Vector of quantiles} @@ -70,7 +70,7 @@ single activation source is supported. \details{ \strong{Parametrization} -See \code{vignette("sdm-simple")} for details on the parameterization. +See \code{vignette("bmm_sdm_simple")} for details on the parameterization. Oberauer (2023) introduced the SDM with the bessel parametrization. The sqrtexp parametrization is the default in the \code{bmm} package for numerical stability and efficiency. The two parametrizations are related by diff --git a/man/c_parametrizations.Rd b/man/c_parametrizations.Rd index f0dad56b..5822d1c5 100644 --- a/man/c_parametrizations.Rd +++ b/man/c_parametrizations.Rd @@ -25,7 +25,7 @@ bessel parametrization. Convert between parametrizations of the c parameter of the SDM distribution } \details{ -See \code{vignette("sdm-simple")} for details on the +See \code{vignette("bmm_sdm_simple")} for details on the parameterization. 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several measurement models for analyzing continuous #### The two-parameter mixture model [@Zhang_Luck_2008] {.unnumbered} - - see `?mixture2p` and `vignette("mixture_models")` + - see `?mixture2p` and `vignette("bmm_mixture_models")` #### The three-parameter mixture model [@Bays_Catalao_Husain_2009] {.unnumbered} - - see `?mixture3p` and `vignette("mixture_models")` + - see `?mixture3p` and `vignette("bmm_mixture_models")` #### The Interference Measurement Model [@Oberauer_Lin_2017] {.unnumbered} - - see `?IMM` and `vignette("IMM")` + - see `?IMM` and `vignette("bmm_imm")` #### The Signal Discrimination Model (SDM) by [@Oberauer_2023] {.unnumbered} - - see `?sdmSimple` and `vignette("sdm-simple")` + - see `?sdmSimple` and `vignette("bmm_sdm_simple")` # References diff --git a/vignettes/bmm_bmmformula.Rmd b/vignettes/bmm_bmmformula.Rmd index bdfb75c1..857c4284 100644 --- a/vignettes/bmm_bmmformula.Rmd +++ b/vignettes/bmm_bmmformula.Rmd @@ -155,7 +155,7 @@ my_formula <- bmf( bmmfit <- bmm:::bmmfit_mixture2p_vignette ``` -Let's assume you have fit a `mixture2p` model to a data set `my_data` as in the `vignette("mixture_models")`. For this, you had to specify a `bmmformula` and model object: +Let's assume you have fit a `mixture2p` model to a data set `my_data` as in the `vignette("bmm_mixture_models")`. For this, you had to specify a `bmmformula` and model object: ```r user_formula <- bmf(