Comments (11)
Thanks for sharing!
On 27 Aug 2016, at 06:31, Rajesh Sahasrabuddhe [email protected] wrote:
I am one of the presenters at the R workshop at CLRS (2016). I was assigned the ChainLadder package. Here is my presentation in case you have any thoughts (no obligation, of course)
http://rpubs.com/rajesh06_2016/chainladder_clrs http://rpubs.com/rajesh06_2016/chainladder_clrs
Thanks - Raj—
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I signed in to RPubs and went to http://rpubs.com/rajesh06_2016/chainladder_clrs but can only see the title page.
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It works fine for me. You may need to click on the title slide to "activate" it.
FYI - I made some minor changes over the weekend.
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It worked for me as well with Google Chrome.
On 30 Aug 2016, at 02:05, Rajesh Sahasrabuddhe [email protected] wrote:
It works fine for me. You may need to click on the title slide to "activate" it.
FYI - I made some minor changes over the weekend.—
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Nope, still doesn't work. May be a permissions issue. I will try publishing
something to RPubs myself so see if that helps.
On Mon, Aug 29, 2016 at 6:05 PM, Rajesh Sahasrabuddhe <
[email protected]> wrote:
It works fine for me. You may need to click on the title slide to
"activate" it.
FYI - I made some minor changes over the weekend.—
You are receiving this because you commented.
Reply to this email directly, view it on GitHub
#24 (comment),
or mute the thread
https://github.com/notifications/unsubscribe-auth/AGJ731wHPsEibqGF3FGHrMof_cTiGK6gks5qk4HzgaJpZM4Juntl
.
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User error! Scroll wheel and clicking do not work with a slide
presentation. Stumbled on Page Down.
On Tue, Aug 30, 2016 at 10:06 AM, Daniel Murphy [email protected]
wrote:
Nope, still doesn't work. May be a permissions issue. I will try
publishing something to RPubs myself so see if that helps.On Mon, Aug 29, 2016 at 6:05 PM, Rajesh Sahasrabuddhe <
[email protected]> wrote:It works fine for me. You may need to click on the title slide to
"activate" it.
FYI - I made some minor changes over the weekend.—
You are receiving this because you commented.
Reply to this email directly, view it on GitHub
#24 (comment),
or mute the thread
https://github.com/notifications/unsubscribe-auth/AGJ731wHPsEibqGF3FGHrMof_cTiGK6gks5qk4HzgaJpZM4Juntl
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Great - if you want the Rmd file, its here:
https://github.com/PirateGrunt/raw_clrs/tree/master/Rmd
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Forked the repository and will look at your slides.
BTW, knit error due to uninstalled 'raw' package. FWIW, the Basic Data slides make no mention of how to install, which I did via
library(devtools)
install_github("PirateGrunt/raw")
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User error again. The version of raw on PirateGrunt does not contain NJM_WC, but the version on CRAN does. Ignore my previous install_github.
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Raj,
Thank you for sharing your Rmd and R files.
I like how you formatted the 40_ChainLadder section into material and exercises. I've always found Exercises to be the best instruction.
I have two major suggestions:
- You go through a lot to generate the development factor plot on slide 16, and kudos for that! (I wasn't sure if part of your motivation was to teach the "tibble" package or not.) Although 'plot' alone will generate a plot of a matrix of age-to-age factors, I think your demonstration of ggplot will be well-received. ... However, ChainLadder shouldn't make it so hard for you to generate the data.frame that drives that plot! The 'ata' function in ChainLadder can calculate the link ratios, with a little extra "sugar", like the ability to label the columns as "1 to 2", etc. And I wrote a new, exported ChainLadder function 'as.LongTriangle' which will convert from matrix to data.frame and allow you to rename the columns, among other things. Once Markus accepts the pull request, then as.LongTriangle will be ready to go to CRAN (hopefully by 9/30). In the meantime, you can try the new functionality from my fork by
library(devtools)
install_github("chiefmurph/ChainLadder") - The uncertainty estimates from the CLFM paper are already available in ChainLadder. The only thing missing is the psi function from that paper. However, even without that extra twist, the additional standard error using CLFM vs. plain Mack can be significant. I added a couple of lines to the R script to demonstrate how to get those estimates.
Finally, I'm not sure what is meant on slide 25 by "tail ~ c("G", "maxage")" but maybe that's still TBD.
Nice work! Hope these comments help. Let me know if questions. We can take this offline via email if that's more convenient.
Dan
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Thanks Dan - That is very helpful and I appreciate the time you took to review and write this up. I will respond offline - as this is probably beyond an "issue" discussion at this point. (If it ever was)
Thanks again - Raj
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Related Issues (20)
- Mack chainladder provides different standarized residuals. HOT 8
- MultiChainLadder plot error when NA's in triangle HOT 1
- Triangle with empty values in early development periods HOT 27
- glmReserve: Missing row in summary HOT 5
- dev.period order not correct when using plot(triang, lattice=TRUE) HOT 2
- Bootchainladder Gamma process variance incorrect parametrization
- tweedieReserve : var.power=NULL not working HOT 2
- tweedieReserve : Error in summary.tweedie when rereserving = FALSE
- package car is missing HOT 5
- dfCorTest and cyEffTest fail for mxn triangle HOT 1
- Probable bug in `glmReserve()` source code HOT 1
- I want to change presaved claims (from ChainLadder-package) HOT 2
- Is it possible to summarize P/I ratio values according to Mack?
- MackChainLadder: `tail = FALSE` works fine, `tail = TRUE` errors. HOT 2
- Cross Reference R/Python in README? HOT 4
- Theoretical Understanding of How Methods Should Handle 0's HOT 5
- Mean IBNR & Quantiles Not Comparable, MackChainLadder HOT 3
- Problems Loading on MacBook Pro OS 10.13 HOT 1
- class triangle object
- as.triangle.data.frame has column gaps
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