Resilient Definition & Meaning

At the time of the filing deadline of May 20, 2016, 682 candidates had filed for 345 offices statewide. State and district results of the 2016 666rs United States presidential election Clinton won seven of ten congressional districts including one that elected a Republican. Since 1988, Washington had voted for the Democratic Party in each presidential election, and the same was expected to happen in 2016. Washington has voted for the Democratic candidate in every presidential election since 1988. This was the first presidential election in which the Republican Party won Grays Harbor and Pacific counties since 1928 and 1952, respectively.

The warning flags that the model’s predicted probabilities are numerically indistinguishable from 0 or 1 for some observations. In such cases, the model tries to assign probabilities of 0 or 1 to outcomes, leading to estimated coefficients that are effectively infinite (or undefined). Logistic regression estimates coefficients by maximizing the log-likelihood function—a mathematical function that measures how well the model fits the data. Use penalized or Bayesian logistic regression, or adjust predictors to restore overlap. Maximum likelihood estimation fails because the likelihood increases without bound, causing coefficients to diverge.

Here are some steps to diagnose and resolve these issues. Warnings like “Algorithm did not converge” and “Fitted probabilities 0 or 1” are not mere annoyances—they signal critical issues with your data or model. Zelig (zeligverse in R) is a popular package for estimating and interpreting causal models, including logistic regression. For example, a single extreme value in a continuous predictor might create a “spike” in the likelihood surface, causing the algorithm to oscillate instead of converging. Outliers in predictors can distort the log-likelihood function, pulling coefficients toward extreme values. With too few data points, the log-likelihood surface may be flat or have multiple local maxima, leaving the algorithm unable to settle on a single solution.