pooled_polr_test: Test an orderd logistic or probit regression for the presence...
In dnkent/dynamr: A Permutation-Based Changepoint Technique for Monitoring Effect Sizes

pooled_polr_test is used to test the temporal effect homogeneity of a ordered logistic or probit regression with panel data.

1 2	pooled_polr_test(formula, Panel.data, N = 100, method = c("logistic", "probit", "loglog", "cloglog", "cauchit"))

`formula`	An object of class "formula", which provides a symbolic description of the model to be fitted. Ensure that names included here are contained with the data frame entries of the Panel.data object.
`Panel.data`	A list of data frames containing the predictors and response variables listed in the model formula. List entries are assumed to be ordered according to time.
`N`	The number of bootstrap samples to run for this test. Default is 100.
`method`	Logistic, probit, log-log, or cauchit

dnkent/dynamr documentation built on June 29, 2021, 7:22 p.m.

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