m-clark/mixed-models-with-R

Issues

• Related code examples

  #25 opened a year ago by alepistola
  2

• covariance types

  #23 opened 2 years ago by skyee1
  1

• Any idea if bigger data can be used with Julia (or Python) vs R?

  #24 opened 2 years ago by AdrianAntico
  10

• link is not working

  #19 opened 3 years ago by sulgik
  1

• Update 2022

  #20 opened 3 years ago by m-clark
  5

• other formats

  #13 opened 3 years ago by m-clark
  1

• No notes on hypothesis testing with mixed models :(

  #15 opened 4 years ago by jrubinstein
  2

• add link to big data post

  #12 opened 4 years ago by m-clark
  0

• update spaghetti plots

  #8 opened 4 years ago by m-clark
  0

• convergence

  #9 opened 4 years ago by m-clark
  0

• Finish Bayesian demo

  #10 opened 4 years ago by m-clark
  0

• add bit about AR as an additional random effect

  #11 opened 4 years ago by m-clark
  0

• nesting vs. crossed

  #7 opened 6 years ago by m-clark
  1

• add clarity to predicted random effects

  #5 opened 7 years ago by m-clark
  0

• add discussion of convergence problems in issues section

  #3 opened 7 years ago by m-clark
  0

• add heterogeneous variances demo

  #4 opened 7 years ago by m-clark
  0

• fix workshop zip

  #6 opened 7 years ago by m-clark
  0

• Add demo of prediction intervals for random effects

  #1 opened 7 years ago by m-clark
  0

• add discussion of variance accounted for somewhere

  #2 opened 7 years ago by m-clark
  1