Nothing
#' @title
#' Family for data that are known without error
#'
#' @description
#' Allows using \code{family = fixed()} to specify data that have no measurement error
#'
#' @export
fixed <- function() {
link1 = "identity"
l1 <- substitute(link1)
if (!is.character(l1)) l1 <- deparse(l1)
structure(
list(
link = l1,
type = "fixed",
family = "fixed",
clean_name = "fixed"
),
class = "family"
)
}
#' @title
#' Gaussian with known standard deviation for measurement errors
#'
#' @description
#' Allows using \code{family = gaussian_fixed_sd(link, sd)} to specify data that have known measurement error
#'
#' @param link Link function
#' @param sd vector of known standard deviations (repeated for length of time-series, so be careful)
#'
#' @export
gaussian_fixed_sd <- function( link, sd ) {
if( missing(link) ){
link = "identity"
}
l1 <- substitute(link)
if (!is.character(l1)) l1 <- deparse(l1)
.type <- "gaussian_fixed_sd"
clean_name <- "gaussian_fixed_sd"
structure(
list(
link = l1,
fixed_sd = sd,
type = .type,
family = "gaussian_fixed_sd",
clean_name = clean_name
),
class = "family"
)
}
#' @title
#' Lognormal distribution
#'
#' @description
#' Lognormal distribution
#'
#' @details
#' Central tendancy meanlog is the median of log-response
#' i.e., does not include bias correction term $sigma^2/2$
#'
#' @param link Link function
#'
#' @export
lognormal <- function( link ) {
if( missing(link) ){
link = "log"
}
l1 <- substitute(link)
if (!is.character(l1)) l1 <- deparse(l1)
structure(
list(
link = l1,
type = "lognormal",
family = "lognormal",
clean_name = "lognormal"
),
class = "family"
)
}
#' @title
#' Tweedie distribution
#'
#' @description
#' Tweedie distribution
#'
#' @param link Link function
#'
#' @export
tweedie <- function( link ) {
if( missing(link) ){
link = "log"
}
l1 <- substitute(link)
if (!is.character(l1)) l1 <- deparse(l1)
structure(
list(
link = l1,
type = "tweedie",
family = "tweedie",
clean_name = "tweedie"
),
class = "family"
)
}
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