Created
December 5, 2016 17:12
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Stan warnings
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13 warnings generated. | |
clang: warning: libstdc++ is deprecated; move to libc++ with a minimum deployment target of OS X 10.9 | |
[I 21:25:13.800 NotebookApp] Saving file at /Frank's model.ipynb | |
Iteration: 1 / 10000 [ 0%] (Warmup) (Chain 0) | |
Iteration: 1 / 10000 [ 0%] (Warmup) (Chain 1) | |
Iteration: 1 / 10000 [ 0%] (Warmup) (Chain 2) | |
Iteration: 1 / 10000 [ 0%] (Warmup) (Chain 3) | |
Informational Message: The current Metropolis proposal is about to be rejected because of the following issue: | |
Exception thrown at line 34: lkj_corr_log: y is not positive definite. | |
If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine, | |
but if this warning occurs often then your model may be either severely ill-conditioned or misspecified. | |
Informational Message: The current Metropolis proposal is about to be rejected because of the following issue: | |
Exception thrown at line 34: lkj_corr_log: y is not positive definite. | |
If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine, | |
but if this warning occurs often then your model may be either severely ill-conditioned or misspecified. | |
Informational Message: The current Metropolis proposal is about to be rejected because of the following issue: | |
Exception thrown at line 34: lkj_corr_log: y is not positive definite. | |
If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine, | |
but if this warning occurs often then your model may be either severely ill-conditioned or misspecified. | |
Informational Message: The current Metropolis proposal is about to be rejected because of the following issue: | |
Exception thrown at line 34: lkj_corr_log: y is not positive definite. | |
If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine, | |
but if this warning occurs often then your model may be either severely ill-conditioned or misspecified. | |
Informational Message: The current Metropolis proposal is about to be rejected because of the following issue: | |
Exception thrown at line 34: lkj_corr_log: y is not positive definite. | |
If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine, | |
but if this warning occurs often then your model may be either severely ill-conditioned or misspecified. | |
Informational Message: The current Metropolis proposal is about to be rejected because of the following issue: | |
Exception thrown at line 34: lkj_corr_log: y is not positive definite. | |
If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine, | |
but if this warning occurs often then your model may be either severely ill-conditioned or misspecified. | |
Informational Message: The current Metropolis proposal is about to be rejected because of the following issue: | |
Exception thrown at line 34: lkj_corr_log: y is not positive definite. | |
If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine, | |
but if this warning occurs often then your model may be either severely ill-conditioned or misspecified. | |
Informational Message: The current Metropolis proposal is about to be rejected because of the following issue: | |
Exception thrown at line 34: lkj_corr_log: y is not positive definite. | |
If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine, | |
but if this warning occurs often then your model may be either severely ill-conditioned or misspecified. | |
Informational Message: The current Metropolis proposal is about to be rejected because of the following issue: | |
Exception thrown at line 34: lkj_corr_log: y is not positive definite. | |
If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine, | |
but if this warning occurs often then your model may be either severely ill-conditioned or misspecified. |
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