query: Hurdle models in R: sign of the hurdle component coefficients
positive_passages.docid: 147224
positive_passages.text: What is the difference between zero-inflated and hurdle models?
negative_passages.docid: 14047
negative_passages.text: How much missing data is too much? Multiple Imputation (MICE) & R
negative_passages.docid: 7838
negative_passages.text: Coding categorical variables for regression
negative_passages.docid: 156490
negative_passages.text: Residual standard error difference between optim and glm
negative_passages.docid: 141509
negative_passages.text: analyzing binary mortality data collected at different remeasurement intervals. Bonus for R implementation
negative_passages.docid: 133638
negative_passages.text: Fitting multilevel models to complex survey data in R
negative_passages.docid: 61192
negative_passages.text: Why are lower p-values not more evidence against the null? Arguments from Johansson 2011
negative_passages.docid: 129671
negative_passages.text: Stepwise regression in R – Critical p-value
negative_passages.docid: 141243
negative_passages.text: cluster labels and cluster centers (kmeans in R)
negative_passages.docid: 109955
negative_passages.text: regression models and dummy variables
negative_passages.docid: 26988
negative_passages.text: Interpreting coefficients for Poisson regression
negative_passages.docid: 151995
negative_passages.text: Why are effect size estimates (such as $R^2$) difficult in mixed-effects models?
negative_passages.docid: 49502
negative_passages.text: Conditional posterior distribution of coefficient in logistic regression
negative_passages.docid: 140391
negative_passages.text: Minimum sample size per cluster in a random effect model
negative_passages.docid: 42003
negative_passages.text: Multinomial logistic regression assumptions
negative_passages.docid: 132510
negative_passages.text: From exp (coefficients) to Odds Ratio and their interpretation in Logistic Regression with factors
negative_passages.docid: 132799
negative_passages.text: Constrained Regression in R: coefficients positive, sum to 1 and non-zero intercept