R/Tcells2.R

In gmonette/Tcells2: Fits Tcell dynamic models with mixed models and STAN

#' Tcells2: an R package to estimate cell dynamics with mixed models.
#' 
#' Collection of functions for analysis of Tcell dynamics
#'
#' @section Functions:
#' Expectation:
#' \describe{
#'    \item{\code{\link{cond_ev}}}{Conditional expected value at time t+1 given value at time t}
#'    \item{\code{\link{cond_ev_k}}}{Conditional expected value at time t+1 given value at time t}
#'    \item{\code{\link{marg_ev}}}{Marginal expected value over time}
#' }
#' Variance:
#' \describe{
#'    \item{\code{\link{cond_var}}}{Conditional variance at time t+1 given value at time t}
#'    \item{\code{\link{cond_var_k}}}{Conditional variance at time t+k given value at time t}
#'    \item{\code{\link{marg_var}}}{Marginal variance over time}
#'    \item{\code{\link{mean_cond_var}}}{Mean conditional variance over time}
#'    \item{\code{\link{var_equation}}}{Solves for \eqn{V} in \eqn{ V = A + LVL'}
#'    where $L$ is lower triangular using the diagonalization of $L$}
#'    \item{\code{\link{var_equation_vec}}}{Solves for \eqn{V} in \eqn{ V = A + LVL'}
#'    where $L$ is lower triangular using the vectorization of the matrices}
#' }
#' @export
Tcells2 <- function() help("Tcells2")