add some line breaks in the manual

R/main.R

@@ -8,8 +8,8 @@
 #'  the variables in the model. If not found in data, the variables are taken from \code{environment(formula)}, 
 #'  typically the environment from which \code{brm} is called.
 #' @param family A vector of one or two character strings. The first string indicates the distribution of the dependent variable (the 'family'). Currently, the following families are supported:
-#'  \code{"gaussian"}, \code{"student"}, \code{"cauchy"}, \code{"multigaussian"}, \code{"binomial"}, \code{"bernoulli"}, \code{"categorical"}, \code{"poisson"}, \code{"negbinomial"}, \code{"geometric"},
-#'  \code{"gamma"}, \code{"exponential"}, \code{"weibull"}, \code{"cumulative"}, \code{"cratio"}, \code{"sratio"}, and \code{"acat"}.
+#'  \code{"gaussian"}, \code{"student"}, \code{"cauchy"}, \code{"multigaussian"}, \code{"binomial"}, \code{"bernoulli"}, \code{"categorical"}, \code{"poisson"}, \code{"negbinomial"}, \cr
+#'  \code{"geometric"}, \code{"gamma"}, \code{"exponential"}, \code{"weibull"}, \code{"cumulative"}, \code{"cratio"}, \code{"sratio"}, and \code{"acat"}.
 #'  The second string indicates the link function, which must be supported by the distribution of the dependent variable. 
 #'  If not specified, default link functions are used. Further information is provided under 'Details'.
 #' @param prior A named list of character strings specifing the prior distributions of the parameters. Further information

R/s3.generics.R

@@ -197,7 +197,8 @@ hypothesis <- function(x, hypothesis, class = "b", alpha = 0.05, ...)
 #' 
 #' @examples
 #' \dontrun{
-#' fit_i <- brm(rating ~ treat + period + carry + (1|subject), data = inhaler, family = "cumulative")
+#' fit_i <- brm(rating ~ treat + period + carry + (1|subject), 
+#'              data = inhaler, family = "cumulative")
 #' 
 #' #extract posterior samples of fixed effects 
 #' samples1 <- posterior.samples(fit_i, "b_")

R/s3.methods.R

@@ -405,7 +405,7 @@ print.brmshypothesis <- function(x, digits = 2, ...) {
 #' \dontrun{ 
 #' fit_e <- brm(count ~ log_Age_c + log_Base4_c * Trt_c + (1|patient) + (1|visit), 
 #'              data = epilepsy, family = "poisson")
-#' ## plot fixed effects as well as standard devations and correlations (if present) of random effects
+#' ## plot fixed effects as well as standard devations of the random effects
 #' plot(fit_e)
 #' ## plot fixed effects only and combine the chains into one posterior
 #' plot(fit_e, parameters = "^b_", combine = TRUE) 

man/brm.Rd

@@ -20,8 +20,8 @@ the variables in the model. If not found in data, the variables are taken from \
 typically the environment from which \code{brm} is called.}
 
 \item{family}{A vector of one or two character strings. The first string indicates the distribution of the dependent variable (the 'family'). Currently, the following families are supported:
-\code{"gaussian"}, \code{"student"}, \code{"cauchy"}, \code{"multigaussian"}, \code{"binomial"}, \code{"bernoulli"}, \code{"categorical"}, \code{"poisson"}, \code{"negbinomial"}, \code{"geometric"},
-\code{"gamma"}, \code{"exponential"}, \code{"weibull"}, \code{"cumulative"}, \code{"cratio"}, \code{"sratio"}, and \code{"acat"}.
+\code{"gaussian"}, \code{"student"}, \code{"cauchy"}, \code{"multigaussian"}, \code{"binomial"}, \code{"bernoulli"}, \code{"categorical"}, \code{"poisson"}, \code{"negbinomial"}, \cr
+\code{"geometric"}, \code{"gamma"}, \code{"exponential"}, \code{"weibull"}, \code{"cumulative"}, \code{"cratio"}, \code{"sratio"}, and \code{"acat"}.
 The second string indicates the link function, which must be supported by the distribution of the dependent variable.
 If not specified, default link functions are used. Further information is provided under 'Details'.}
 

man/brm.data.Rd

@@ -16,8 +16,8 @@ the variables in the model. If not found in data, the variables are taken from \
 typically the environment from which \code{brm} is called.}
 
 \item{family}{A vector of one or two character strings. The first string indicates the distribution of the dependent variable (the 'family'). Currently, the following families are supported:
-\code{"gaussian"}, \code{"student"}, \code{"cauchy"}, \code{"multigaussian"}, \code{"binomial"}, \code{"bernoulli"}, \code{"categorical"}, \code{"poisson"}, \code{"negbinomial"}, \code{"geometric"},
-\code{"gamma"}, \code{"exponential"}, \code{"weibull"}, \code{"cumulative"}, \code{"cratio"}, \code{"sratio"}, and \code{"acat"}.
+\code{"gaussian"}, \code{"student"}, \code{"cauchy"}, \code{"multigaussian"}, \code{"binomial"}, \code{"bernoulli"}, \code{"categorical"}, \code{"poisson"}, \code{"negbinomial"}, \cr
+\code{"geometric"}, \code{"gamma"}, \code{"exponential"}, \code{"weibull"}, \code{"cumulative"}, \code{"cratio"}, \code{"sratio"}, and \code{"acat"}.
 The second string indicates the link function, which must be supported by the distribution of the dependent variable.
 If not specified, default link functions are used. Further information is provided under 'Details'.}
 

man/brm.pars.Rd

@@ -17,8 +17,8 @@ the variables in the model. If not found in data, the variables are taken from \
 typically the environment from which \code{brm} is called.}
 
 \item{family}{A vector of one or two character strings. The first string indicates the distribution of the dependent variable (the 'family'). Currently, the following families are supported:
-\code{"gaussian"}, \code{"student"}, \code{"cauchy"}, \code{"multigaussian"}, \code{"binomial"}, \code{"bernoulli"}, \code{"categorical"}, \code{"poisson"}, \code{"negbinomial"}, \code{"geometric"},
-\code{"gamma"}, \code{"exponential"}, \code{"weibull"}, \code{"cumulative"}, \code{"cratio"}, \code{"sratio"}, and \code{"acat"}.
+\code{"gaussian"}, \code{"student"}, \code{"cauchy"}, \code{"multigaussian"}, \code{"binomial"}, \code{"bernoulli"}, \code{"categorical"}, \code{"poisson"}, \code{"negbinomial"}, \cr
+\code{"geometric"}, \code{"gamma"}, \code{"exponential"}, \code{"weibull"}, \code{"cumulative"}, \code{"cratio"}, \code{"sratio"}, and \code{"acat"}.
 The second string indicates the link function, which must be supported by the distribution of the dependent variable.
 If not specified, default link functions are used. Further information is provided under 'Details'.}
 

man/plot.brmsfit.Rd

@@ -28,7 +28,7 @@ Trace and density plots for MCMC samples using the \code{ggmcmc} package
 \dontrun{
 fit_e <- brm(count ~ log_Age_c + log_Base4_c * Trt_c + (1|patient) + (1|visit),
              data = epilepsy, family = "poisson")
-## plot fixed effects as well as standard devations and correlations (if present) of random effects
+## plot fixed effects as well as standard devations of the random effects
 plot(fit_e)
 ## plot fixed effects only and combine the chains into one posterior
 plot(fit_e, parameters = "^b_", combine = TRUE)

man/posterior.samples.Rd

@@ -26,7 +26,8 @@ Currently there are methods for \code{brmsfit} objects.
 }
 \examples{
 \dontrun{
-fit_i <- brm(rating ~ treat + period + carry + (1|subject), data = inhaler, family = "cumulative")
+fit_i <- brm(rating ~ treat + period + carry + (1|subject),
+             data = inhaler, family = "cumulative")
 
 #extract posterior samples of fixed effects
 samples1 <- posterior.samples(fit_i, "b_")