Suchergebnisse
Suchergebnisse:
Vor 3 Tagen · In statistics, the logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic model (the coefficients in the linear combination).
Vor 4 Tagen · In this regard, we propose Multilevel Geographical Process Models (MGPMs) to simultaneously incorporate both individual- and multi-level spatial process heterogeneity. We demonstrate the performance of the model using Monte Carlo simulations and Compare it against Multiscale Geographically Weighted Regression and Multilevel models.
Vor 5 Tagen · Multilevel regression with post-stratification (MRP) Aus dem Englischen übersetzt - Mehrstufige Regression und Poststratifikation. Die MRP hat sich zu einer weit verbreiteten Methode zur Schätzung öffentlicher subnationaler Präferenzen und Meinungen mithilfe von nationalen Umfragen entwickelt [1, 2].
Vor 5 Tagen · A wide range of distributions and link functions are supported, allowing users to fit – among others – linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include non-linear and smooth terms, auto ...
Vor 5 Tagen · MRP (multi-level modelling and post-stratification) constituency projection models first estimate the relationship between a wide variety of characteristics about prospective voters and their opinions – in this case, which party they will vote for at the general election – in a ‘multilevel model’. It then uses data at the constituency level to predict the outcomes of seats based on the ...
Vor 6 Tagen · Compute multilevel compositional data and Isometric log ratio (ILR) at between and within-person levels, fit Bayesian multilevel models for compositional predictors and outcomes, and run post-hoc analyses such as isotemporal substitution models.
15. Nov. 2023 · A number of R-squared measures for multilevel and linear mixed effects models have been developed in the methodological literature (see Rights & Sterba, 2018). Based on these measures, following measures were implemented in the current function:
