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Data were tested for goodness of fit to a 1 2 1 ratio using χ analysis.

Here, encounter histories are simulated that exactly meet the CJS assumptions by a bootstrap procedure, and then the simulated data are compared to the observed data to test for goodness-of-fit [ 77].

These expectations were compared with the observed data using G-tests for goodness of fit.

Based on experimental data and considerations for goodness-of-fit versus parameter sensitivity, we replaced RK's exponential decrease in affinity and Arr's exponential increase in affinity with respective linear relationships (see Methods).

LMER provides a model of the observed data that can be evaluated for goodness of fit.

"univar" and "bivar" folders are for exploratory data analysis; "gof" folder is for goodness of fit; "struct" folder is for structural model diagnostics; "resid" folder is for residual model diagnostics; "para" folder is for parameter diagnostics; "cov" folder is for covariate model diagnostics; "eta" folder is for random effects diagnostics and "ind" folder is for individual plots.

We also used Moran's I [ 18] for the Poisson data to assess goodness of fit.

Since the hydraulic model hypothesized in this analysis assumed a relative stability in the total size of institutionalized populations and an inverse correlation between correctional institutionalization and psychiatric institutionalization, the exclusion of measures of prison admission and release did not affect the goodness of data for the testing of the two hypotheses.

Categorical data were analyzed by using the χ test for goodness of fit.

As shown (Table 2), the baseline model had a good fit to the data using conventional criteria for goodness-of-fit.

The theoretical scattering curve calculated from the R2Δ model with the V-shaped conformation fits better with the experimental data for both R2 and R2Δ complexes (goodness of fit χ = 0.71 and 0.60, respectively) than that calculated from the R2Δ model with the linear conformation (goodness of fit χ = 0.74 and 0.65, respectively).

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