NEWS.md

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VORWORT

Future development plan of the author's life

As a detoxification in our body, there is the notion of conjugation. To help this, vitamin and minerals are recommended. Manufactures never accept the toxicity of their products such as syndet.

Future development plan of this package

I does not work as Statistician, so I no longer know what is required in practical theme. So, I should quit pkg deve, I am so exhausted, honestly.

Explanatory Variables

$$d \log \Phi \in \text{Exponential family}?$$ If not how we can approximate it by exponential family

If x1(t),...,xn(t) are curves into plane, then we can define its mean curve

by x(t):= mean(x1,...,xn). Or use mean parameter over all readers to get modality-wise one.

I think, if number of readers are very large, then I guess such pooling will be required. 2020 Jan

INHALT

When I reinstall R, I should install my pkg at first, then all other pkg also be installed.

Why I did not notice this!

I was so disappointed R programming, cuz it dose not give me any loves!

In the current version, I try to include an article but if do, I cannot publish it in journals, so I cannot. I noticed multi-nomial shotten the descriptions, so, I have to revise. I use FROC only one time, so I no longer need this. The aim of this pkg development is to rescue my life, but I figured out it cannot. So, motivation is very low.

In the future, I should write down priors by target += formulation, but now I did not do that, cuz I am tired. And, using GUIs, the author should make GUI to be valid the various priors and show how it affects estimators, but now, it dose not be accomplished cuz now, I wanna sleep.

ver. 0.4.0

Now, the author is a homeless for 6 months. My smell is fucking sucks! Thanks for K.

Major revision

Using generated quantities block in Stan files, calculation of posterior predictive p values are dratistically improved. The result is reasonable. Also, in MRMC, the author wrote down the model by using equivalent distributions, namely, multi-nomial parts.

Minor comments

x[1] <- x[3]

x[2] <- x[2]

x[3] <- x[1] (<- x[3])

therefore, the resulting vector is x[3],x[2],x[3].

I suffer MCS, this is the very bad world line. I hope that I live in another world sheet. I guess my dirchlet initial value is not so good. Bad D brane.

I do not think my ppp is correctly programmed. But, now, I cannot reveal where I am wrong. It seems correct, but, the calculation is not compatible with my lovely intuition including visualizations of estimates and dataset synthesized from posterior predictive p value. So, where dose I mis-programmed ,,, Uhnnnnn I cannot.

In roxygen comment, \code{} should not be in mutiple lines but the author always do this and R is nagging. Sorry, Prof. R Lang.

ver. 0.3.1

ver. 0.3.0

I diseased from multiple chemical sensitivity which was very heavy, and, now, my body still a lot of prurigo nodularises, chronic inflammations. The initial toxicant is synthetic detergent (i.e., syndet). When I made this pkg, I hope programming and statistics save my life, but it does not. Above me only sky.

ver. 0.2.3

Check Package --R CMD check additional options should be specified as following

   --as-cran --run-donttest

ver. 0.2.2

ver. 0.2.1

ver. 0.2.0

Moreover such multiple line cannot be detected by the R CMD check in my computer but in R CMD check in CRAN detects it. So the debug or find such multiple line is very hard to find because the error message never specify the information about such a location.

Flavor: r-devel-linux-x86_64-debian-gcc, r-devel-windows-ix86+x86_64 Check: PDF version of manual, Result: WARNING LaTeX errors when creating PDF version. This typically indicates Rd problems. LaTeX errors found: ! Paragraph ended before \Rd@code was complete. \par l.16983

This error is very heavy to debug.

ver. 0.1.5

(Now 2020 AUgust, these are replaced by fit_GUI_Shiny() instead )

ver. 0.1.4

which cause the error

           [1] "Error in sampler$call_sampler(args_list[[i]]) : Initialization failed."

Some Stan developer taught this in stack over flows, His answer is very plain, I appreciate him. He helps me many times, I appreciate him.

ver. 0.1.3

ver. 0.1.2

ver. 0.1.1



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BayesianFROC documentation built on Jan. 13, 2021, 5:22 a.m.