1. One-Sample Models (Continuous DV) Then: Simple Linear Regression
P548: Bayesian Stats with Psych Applications Instructor: John Miyamoto 02/27/2017: Lecture 09-1
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2. Extracting R-Code from within a genMCMC Function Definition
Look at the function code for the genMCMC function in: Jags-Ymet-Xnom1grp-Mnormal.R
It is usually possible to extract the code and run it as if it were not part of a function, i.e., not part of the genMCMC function.
The code in demo.09-1.p548.w17.r extracts code from the definition of the genMCMC function in Jags-Ymet-Xnom1grp-Mnormal.R This will let us see what the code is doing.
Psych 548, Miyamoto, Win '17

3. KR (Ed. 2): One Sample Normal Model
Kruschke Fig (Ed. 2, p. 455)
Left: Gamma prior on precision (1/2)
Right: Uniform prior on sigma%
UW Psych 548, Miyamoto, Win ###

4. KR (Ed. 2): One Sample Normal Model
i = 1:N yi
Priors:
 ~ Unif(sdY/1000, sdY*1000)
 = 1/2
 ~ N(meanY, 1/(100*sdY)2),
Likelihood
y ~ N(, )
Kruschke Fig (Ed. 2, p. 455)
[Omitted] Gamma prior on precision (1/2)
Uniform prior on sigma
UW Psych 548, Miyamoto, Win ###

5. Set Up for Instructor
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Psych 548, Miyamoto, Aut ‘16