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Diff for /OpenXM/src/R/r-packages/note.txt between version 1.2 and 1.6

version 1.2, 2013/02/09 02:58:14 version 1.6, 2016/02/15 07:42:07
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 $OpenXM: OpenXM/src/R/r-packages/note.txt,v 1.1 2013/02/08 03:00:32 takayama Exp $  $OpenXM: OpenXM/src/R/r-packages/note.txt,v 1.5 2015/04/05 23:47:46 takayama Exp $
   
 See also OpenXM/src/hgm/note.txt  See also OpenXM/src/hgm/note.txt
   
Line 44  See also OpenXM/src/hgm/note.txt
Line 44  See also OpenXM/src/hgm/note.txt
     dyn.load("hgm.so") can be used to load shared library by hand.      dyn.load("hgm.so") can be used to load shared library by hand.
     getwd() gets the current working directory.      getwd() gets the current working directory.
   
   
   * Undocumented functions which are removed temporary fro NAMESPACE. 2015.03.24
   export(hgm.so3nc)
   export(hgm.normalizingConstantOfFisherDistributionOnSO3)
   export(hgm.normalizingConstantOfOrthant)
   export(hgm.normalizingConstantOfBinghamDistribution)
   export(hgm.z.mleDemo)
   export(hgm.ssFB)
   
   
   * Check the memory leak by valgrind and by AddressSanitizer. 2015.04.01
   ** Valgrind
   apt-get install valgrind
   
   cat >>~/.valgrindrc
   --leak-check=full
   --track-origins=yes
   ctrl-D
   
   R CMD check hgm --use-valgrind
   more hgm.Rcheck/hgm-Ex.Rout
   Example of an error (Note that there is no error message in *.log)
   ==14813== Conditional jump or move depends on uninitialised value(s)
   ==14813==    at 0xCA20170: mh_t (jack-n.c:1361)
     for (i=0; i<=M_m; i++) {
       -- snip
       serror = myabs((partial_sum[i]-partial_sum[i-1])/partial_sum[i-1]);
     }
     partial_sum[-1] is accessed!
   
   As to details, search "valgrind" in R-exts.pdf
   
   * R CMD check hgm --use-gct
   
   * Note on building R package: @s/2015/04/05-hgm-r-package-memo.txt
   
   ;;
   2016.02.15  testdata.
   c<-hgm.p2wishart(m=4,n1=50,n2=100,beta=c(1,2,4,8),q0=0.5,q=30,autoplot=1);
     output is wrong.
   c<-hgm.p2wishart(m=4,n1=50,n2=100,beta=c(1,2,4,8),q0=0.5,q=30,err=c(1e-30,1e-10),mode=c(1,1,0))
     output is correct.
   c<-hgm.p2wishart(m=4,n1=50,n2=100,beta=c(1,2,4,8),q0=0.5,q=30,err=c(1e-30,1e-10),autoplot=1)
     crashed, but by commented out todo in mh.c, it works. See @s/2016/02
   

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