Merge pull request #29 from AQLT/develop

Doc correction

DESCRIPTION

@@ -8,9 +8,9 @@ Authors@R: c(
   person("Alain", "Quartier-la-Tente", role = c("aut","cre"),
                  email = "[email protected]",
                  comment = c(ORCID = "0000-0001-7890-3857")),
-  person("Tanguy", "Barthelemy", role = c("aut"),
+  person("Tanguy", "Barthelemy", role = c("ctb"),
                  email ="[email protected]"),
-  person("Anna", "Smyk", role = c("aut"),
+  person("Anna", "Smyk", role = c("ctb"),
                  email ="[email protected]")
                  )
 Description: This package provides functions to build and apply symmetric

R/2_finite_filters.R

@@ -504,7 +504,11 @@ to_seasonal.finite_filters <- function(x, s){
 #' @details
 #' When combining finite filters and a moving average, the first and/or the last points cannot be computed.
 #'
-#' For example, using the M2X12 moving average (symmetric moving average with coefficients \eqn{\theta = \begin{pmatrix} 1/24 & 1/12 & 1/12 & 1/12 & 1/12 & 1/12 & 1/12 & 1/12 & 1/12 & 1/12 & 1/12 & 1/12 & 1/24 \end{pmatrix}}), the first and last 6 points cannot be computed.
+#' For example, using the M2X12 moving average, that is to say the symmetric moving average with coefficients
+#' \deqn{
+#' \theta = \frac{1}{24}B^{6} + \frac{1}{12}B^{5}+\dots+\frac{1}{12}B^{-5}+\frac{1}{24}B^{-6},
+#' }
+#' the first and last 6 points cannot be computed.
 #'
 #' `impute_last_obs()` allows to impute the first/last points using the `nperiod` previous filtered data. With `nperiod = 1`, the last filtered data is used for the imputation, with `nperiod = 12` and monthly data, the last year filtered data is used for the imputation, etc.
 #'