remove deps for splines2 and extraDistr

NAMESPACE

@@ -117,7 +117,6 @@ importFrom(brms,pstudent_t)
 importFrom(brms,qstudent_t)
 importFrom(brms,rstudent_t)
 importFrom(brms,student)
-importFrom(extraDistr,rlaplace)
 importFrom(ggplot2,scale_colour_discrete)
 importFrom(ggplot2,scale_fill_discrete)
 importFrom(ggplot2,theme_classic)
@@ -177,7 +176,6 @@ importFrom(rstantools,posterior_epred)
 importFrom(rstantools,posterior_linpred)
 importFrom(rstantools,posterior_predict)
 importFrom(scoringRules,es_sample)
-importFrom(splines2,iSpline)
 importFrom(stats,Gamma)
 importFrom(stats,acf)
 importFrom(stats,as.formula)

R/monotonic.R

@@ -40,7 +40,6 @@
 #' \cr
 #' Ramsay, J. O. (1988). Monotone regression splines in action. Statistical Science, 3(4), 425--441.
 #' @importFrom mgcv smooth.construct
-#' @importFrom splines2 iSpline
 #' @export
 #' @author Nicholas J Clark
 #' @rdname monotonic
@@ -175,7 +174,7 @@ smooth.construct.moi.smooth.spec <- function(object, data, knots){
   boundary <- c(xl - xr * 0.01, xu + xr * 0.01)
 
   # Generate basis functions
-  i_spline_basis <- iSpline(x,
+  i_spline_basis <- splines2::iSpline(x,
                             knots = k,
                             degree = nk,
                             Boundary.knots = boundary,
@@ -266,7 +265,7 @@ smooth.construct.mod.smooth.spec <- function(object, data, knots){
   boundary <- c(xl - xr * 0.01, xu + xr * 0.01)
 
   # Generate basis functions
-  i_spline_basis <- iSpline(x,
+  i_spline_basis <- splines2::iSpline(x,
                             knots = k,
                             degree = nk,
                             Boundary.knots = boundary,

R/trends.R

@@ -1021,7 +1021,6 @@ extract_series_trend_pars = function(series, samp_index, trend_pars,
 }
 
 #' Wrapper function to forecast trends
-#' @importFrom extraDistr rlaplace
 #' @noRd
 forecast_trend = function(trend_model, use_lv, trend_pars,
                           Xp_trend = NULL, betas_trend = NULL,