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| bio | website | |
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| location | ||
| age | ||
| visits | member for | 2 years, 8 months |
| seen | Dec 20 '11 at 11:22 | |
| stats | profile views | 126 |
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Aug 17 |
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Is there a package in R which implements the weighted maximum likelihood method? I write it in R and Java. Can send you the code but it's ugly... Not a Newton Raphson but a "split half" search. |
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Jan 5 |
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An R function for performing searches for this purpose you can see the stringr package of H. Wickam |
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Dec 4 |
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When do you consider a variable is a latent variable? Thanks i see what you mean... But my goal is to have statistics rules. The complexity you talk about can be seen in econometrics problems which use classical approach. |
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Dec 4 |
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When do you consider a variable is a latent variable? i fix questions with examples... |
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Oct 14 |
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Classification after factor analysis Yes i think to cluster analysis rather than classifcation. |
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Oct 5 |
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Recreating R's hist function's bin counting see stackoverflow.com for R question |
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Sep 28 |
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Differences between tetrachoric and Pearson correlation Thanks a lot. Great word. It will be helpful for me. |
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Sep 27 |
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Differences between tetrachoric and Pearson correlation Thanks for explanation and references. But what i would know is when values obtained from tetrachoric are slightly different of person coefficient. Because they're supposed to be close. Indeed, in many programs, for estimation, Pearson r are used as start values for algorithm which compute tetrachoric correlation. |
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Sep 26 |
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Differences between tetrachoric and Pearson correlation matrix is 5000 x 300. Software is SAS. PROC CORR and PLCORR. Convergence was not reached so the number of iterations have been changed to 100 iterations. |
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Sep 16 |
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Statistical inference when the sample “is” the population sorry. I have difficulties to understand how i would compute permutations and what conclusions I'll be able to made for them. |
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Sep 16 |
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Statistical inference when the sample “is” the population Thanks a lot for your answers. |
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Sep 14 |
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Statistical inference when the sample “is” the population thanks for change the title Jeromy. better this way. |
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Sep 8 |
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Classification after factor analysis Thanks for your answer and reference. I will check differents models and do cross validation. Bayesian is a good idea. |
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Sep 8 |
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Classification after factor analysis I'll come back with results. |
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Sep 8 |
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Classification after factor analysis Thanks. Nice idea cross classification. |
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Sep 7 |
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Factor analysis of questionnaires composed of Likert items Thanks a lot... Very complete... |
