You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi! great model, congrats. Simple and powerful.
I was exploring this with $\theta=80$, to focus in oldest ages. So I tried with the default example: ages <- 0:100 years <- 1965:1990 sex <- 'female' SWEmx <- HMD4mx$SWE[paste(ages), paste(years)] M <- LinearLink(x = ages, mx = SWEmx, y = years, country = 'SWEDEN', theta = 80, method = 'LSE') e80 <- 7 LT1 <- LinearLinkLT(M, ex = e80) LT1$lt$ex[LT1$lt$x==80] #1.16
I was expecting something similar to 7 (when I play with $e_0$ prediction fits input). Am I missunderstanding something?
Thanks!
The text was updated successfully, but these errors were encountered:
Hi! great model, congrats. Simple and powerful.$\theta=80$ , to focus in oldest ages. So I tried with the default example:
I was exploring this with
ages <- 0:100
years <- 1965:1990
sex <- 'female'
SWEmx <- HMD4mx$SWE[paste(ages), paste(years)]
M <- LinearLink(x = ages, mx = SWEmx, y = years, country = 'SWEDEN', theta = 80, method = 'LSE')
e80 <- 7
LT1 <- LinearLinkLT(M, ex = e80)
LT1$lt$ex[LT1$lt$x==80] #1.16
I was expecting something similar to 7 (when I play with$e_0$ prediction fits input). Am I missunderstanding something?
Thanks!
The text was updated successfully, but these errors were encountered: