differences for PR #262

Author: actions-user

config.yaml

@@ -201,13 +201,13 @@ base::summary(estimates)
 ```
 
 ``` output
-                        measure               estimate
-                         <char>                 <char>
-1:       New infections per day 20210 (13401 -- 30415)
-2:   Expected change in reports                 Stable
-3:   Effective reproduction no.     0.97 (0.77 -- 1.2)
-4:               Rate of growth -0.01 (-0.092 -- 0.07)
-5: Doubling/halving time (days)      -69 (9.8 -- -7.5)
+                        measure                 estimate
+                         <char>                   <char>
+1:       New infections per day   19944 (13303 -- 30252)
+2:   Expected change in reports        Likely decreasing
+3:   Effective reproduction no.       0.97 (0.77 -- 1.2)
+4:               Rate of growth -0.012 (-0.091 -- 0.069)
+5: Doubling/halving time (days)         -59 (10 -- -7.6)
 ```
 
 
@@ -526,16 +526,16 @@ summary(ebola_estimates)
 ```
 
 ``` output
-                        measure                  estimate
-                         <char>                    <char>
-1:       New infections per day            91 (48 -- 193)
-2:   Expected change in reports                Increasing
-3:   Effective reproduction no.          1.6 (1.1 -- 2.5)
-4:               Rate of growth 0.041 (-0.00013 -- 0.088)
-5: Doubling/halving time (days)         17 (7.9 -- -5300)
+                        measure                estimate
+                         <char>                  <char>
+1:       New infections per day          93 (49 -- 192)
+2:   Expected change in reports              Increasing
+3:   Effective reproduction no.        1.7 (1.2 -- 2.4)
+4:               Rate of growth 0.041 (0.0044 -- 0.088)
+5: Doubling/halving time (days)         17 (7.9 -- 160)
 ```
 
-The effective reproduction number $R_t$ estimate (on the last date of the data) is 1.6 (1.1 -- 2.5). The exponential growth rate of case numbers is 0.041 (-0.00013 -- 0.088).
+The effective reproduction number $R_t$ estimate (on the last date of the data) is 1.7 (1.2 -- 2.4). The exponential growth rate of case numbers is 0.041 (0.0044 -- 0.088).
 
 Visualize the estimates:
 

create-forecast.md

@@ -167,8 +167,8 @@ epiparameter::generate(covid_serialint, times = 10)
 ```
 
 ``` output
- [1] 5.435226 4.103428 8.022948 1.995078 5.460424 5.129061 8.811795 6.127807
- [9] 5.720197 9.670987
+ [1] 4.636541 2.913475 3.116366 1.939983 6.264766 2.835415 1.195063 5.263483
+ [9] 5.985929 2.358801
 ```
 
 ::::::::: instructor