query: Obtaining Standard Errors in Optim() in R
positive_passages.docid: 156490
positive_passages.text: Residual standard error difference between optim and glm
negative_passages.docid: 47719
negative_passages.text: Interpretation of R's output for binomial regression
negative_passages.docid: 84435
negative_passages.text: Testing whether two regression coefficients are significantly different (in R ideally)
negative_passages.docid: 10796
negative_passages.text: Interpreting the residuals vs. fitted values plot for verifying the assumptions of a linear model
negative_passages.docid: 130496
negative_passages.text: How do I fit a constrained regression in R so that coefficients total = 1?
negative_passages.docid: 81027
negative_passages.text: Standard errors for multiple regression coefficients?
negative_passages.docid: 40160
negative_passages.text: asymmetric errors with exponential
negative_passages.docid: 9676
negative_passages.text: How to interpret error measures?
negative_passages.docid: 81691
negative_passages.text: Resolving heteroscedasticity in Poisson GLMM
negative_passages.docid: 134665
negative_passages.text: Is there something like a Root Mean Square Relative Error (RMSRE)? Or: What is the name of this error?
negative_passages.docid: 132799
negative_passages.text: Constrained Regression in R: coefficients positive, sum to 1 and non-zero intercept
negative_passages.docid: 134446
negative_passages.text: Convert standardized coefficients to unstandardized (metric) coefficients for linear regression of a standardized independent variable
negative_passages.docid: 26961
negative_passages.text: How do I calculate standard errors for sums of OLS coefficients?
negative_passages.docid: 105349
negative_passages.text: pull out p-values and r-squared from a linear regression
negative_passages.docid: 115747
negative_passages.text: How can I calculate the R-squared of a regression with arima errors using R?
negative_passages.docid: 10730
negative_passages.text: Proof that regression residual error is an unbiased estimate of error variance
negative_passages.docid: 54734
negative_passages.text: Standard error of the estimate in logistic regression