trying to get checks to pass...

Author: dajmcdon

DESCRIPTION

@@ -25,7 +25,6 @@ Depends:
     parsnip (>= 1.0.0),
     R (>= 3.5.0)
 Imports: 
-    assertthat,
     cli,
     distributional,
     dplyr,

NAMESPACE

@@ -118,6 +118,8 @@ export(step_population_scaling)
 export(step_training_window)
 export(validate_layer)
 import(distributional)
+import(epiprocess)
+import(parsnip)
 import(recipes)
 import(vctrs)
 importFrom(generics,augment)

R/epipredict-package.R

@@ -1,4 +1,5 @@
 #' @importFrom tibble tibble
 #' @importFrom rlang := !!
 #' @importFrom stats poly predict lm residuals quantile
+#' @import epiprocess parsnip
 NULL

vignettes/preprocessing-and-models.Rmd

@@ -408,7 +408,7 @@ consider the trends to be flat.
 The expression of the multinomial regression we will model is as follows:
 
 $$
-\pi_{j}(x) = \text{Pr}(Y = j|x) = \frac{e^{g_j(x)}}{\sum_{k=0}^2 g_j(x) }
+\pi_{j}(x) = \text{Pr}(Y = j|x) = \frac{e^{g_j(x)}}{1 + \sum_{k=0}^2 g_j(x) }
 $$
 where $j$ is either down (`Y=0`), flat (`Y=1`), or up (`Y=2`),
 $$g_0(x) = 0$$