13 окт. 2019 г. · My research question is: is the rate of forgetting (slope) influenced by the degree of encoding? So I have three encoding degrees and three time intervals.

19 нояб. 2023 г. · I am struggling with interpreting model results from a brm() model. The first result uses scaled and centered data with command scale(df$column, scale = TRUE, ...

4 окт. 2020 г. · Bernoulli family is a special case of the binomial family, so it should not matter which you use (but maybe the model specification is ...

26 апр. 2023 г. · As a starting point, I would suggest one option might be to look at implementing a random walk prior on the log-odds of response.

24 мая 2024 г. · I have fitted a logistic model with brms and want to calculate the average marginal effects (AMEs). library(brms) model <- brm ... bernoulli ...

5 июн. 2020 г. · So I have a binary response variable: SP(0=seronegative,1=seropositive,SP=disease state) and I have just been playing around with my variables ...

26 июн. 2023 г. · I'm just wondering when and how the Bernoulli distribution Be(p) (and related distributions like the binomial B(n,p)) with real binomial ...

4 янв. 2023 г. · I'm using brms to fit a non-linear model to a set of data representing biexponential decay (yi=a1⋅e−k1⋅xi+a2⋅e−k2⋅xi). It seems that the ...

7 янв. 2024 г. · Here is a simple model with sample data I'm running using brms with a Bernoulli distribution: library(brms) fit <- brm(formula ...

12 авг. 2019 г. · The predicted variable is binomial, the predictors are categorical. The model uses bernoulli family and a logit link, and an uninformative ...