Crossed Random Effects Model with Persistence Parameters | $$\begin | Multi-Trait Multi-Rater Model | $$\begin | $$\begin | References

Mixed Normal and Binomial Response | Mixed Response and Heteroscedastic Residuals | Covariate Measurement Error Model | Structural Model | Measurement Model | Disease Model | Nonlinear Predictor | Estimating the Model with galamm | Comparison to a Model with Indirect Effect Only | References

High-Level Overview | Modifying the L-BFGS-B algorithm | Optimization with the Nelder-Mead algorithm | Implementation Details | Future Improvements | References

Generalized Additive Mixed Models | Gaussian Responses | Binomial Responses | Generalized Additive Models with Factor Structures | Smooth Terms with Loadings and Factor Interactions | Mixed Gaussian and Binomial Responses | References

Model with Binomially Distributed Responses | Binomial Model with Multiple Trials | Model with Poisson Distributed Responses | References

Group-Wise Heteroscedasticity | References

Linear Mixed Model with Latent Covariates | Model Formulation | $$\begin | Model Without Interaction | Linear Interaction Between Observed and Latent Covariates | Interaction Between Latent Covariate and a Quadratic Term | Models with Additional Random Effects | Model with Smooth Terms | References

Generalized Additive Latent and Mixed Models | Response Model | Nonlinear Predictor | Structural Model | Mixed Model Representation | Maximum Marginal Likelihood Estimation | Evaluating the Marginal Likelihood | Maximizing the Marginal Likelihood | Example Models | References

Linear Mixed Models with Factor Structures | Model with Group-Wise Heteroscedasticity | Generalized Linear Mixed Models with Factor Structures | Semiparametric Model with Gaussian Responses | Semiparametric Model with Binomial Responses | Conclusion | References

Confidence intervals for extrema of a smooth function | References

Finding the binary | The direct route | Wrappers | Parcellate CIFTI data | Compute a correlation matrix | Reduce across maps | Surface curvature | Map a volume to a surface | Math expressions | Getting help | Using wbcmd with ciftiTools | Controlling verbosity

What a random rotation needs to do | Euler ZYZ rotations | Rodrigues axis-angle rotations | Where Rodrigues has the edge | Geometric transparency | Axis uniformity is explicit | Numerical stability | Idiomatic R | Where Euler has the edge | How much does the difference matter? | Choosing a method | Summary | References

The landscape | Distance-based methods | Variogram matching (burt2020) | Spatial autoregressive model (burt2018) | Moran spectral randomization (moran) | Spin-based methods | Original spin test (alexander_bloch) | Greedy assignment (spin_vasa) | Optimal assignment (spin_hungarian) | Parcel spin methods | Maximum overlap (baum) | Majority vote (cornblath) | Comparing null distributions visually | Using permtest_metric() for custom metrics | Building custom null distributions | Decision guide | References

Vertices to parcels | Parcels back to vertices | The high-level wrappers | Parcel centroids | Average centroid | Surface centroid | Geodesic centroid | Building a parcel-level distance matrix | Parcellation and null models together | Practical considerations | References

Comparing two brain maps | Adding a spatial null model | Visualising the null distribution | Pre-computing null distributions | Working with real brain map files | Accessing the neuromaps atlas collection | Custom metrics with permtest_metric() | Choosing a null model | What comes next | References

Surface meshes | Building a surface graph | Geodesic distances | Partial distance matrices | Euclidean vs geodesic | Vertex areas | Checking the geometry | Format conversions | Annotation to GIFTI | Morphometry to GIFTI | Resampling between coordinate spaces | Putting it together | References

Setting Up Authentication | Setting up a client | Add Credentials to Your .Renviron File | Check your Situation report | Accessing forms | Working with the client | Renewing the client secret | Adding colleagues | Troubleshooting | More information

Understanding the basics of APIs | Setting up a custom GET request | Setting up a custom POST request

Overview | Listing Attachments | Listing attachments for a specific submission | Listing all attachments for a form | Downloading Attachments | Saving All Attachments | For a Single Submission | For an Entire Form | Summary

Introduction to using Labelled data | Getting labelled data from nettskjemar | Exploring Labelled Data with | Inspecting Labels | Modifying Labels | Benefits of Using Labelled Data

Overview | Prerequisites | Retrieving All Available Forms | Example: Getting Forms | Retrieving Raw Form Data | Downloading Form Reports | Example: Download a CSV Report | Example: Download an Excel Report | Example: Save SPSS Report to a Custom Path | Custom Output Paths

Overview | Getting an Individual Submission Answer: ns_get_submission | Example: Fetch an Individual Submission

General recommendations | Tidyverse compatible | Download submissions | Fetching Raw Data | Controlling checkbox output

Overview | Prerequisites | Retrieving Metadata for a Form: ns_get_meta | Example: Retrieve Metadata | Exploring the Metadata Object | Example: Access Specific Metadata Fields | Saving Metadata to a File: ns_write_meta | Example: Save Metadata as a JSON File | Example: Save Metadata to a Custom Path | Example: Use Custom JSON Formatting Options

Background | Scoring | Equation | Data requirements | Use the zygo functions | References

Background | Scoring | Data requirements | Using the bfi functions | Computing all domains and facets. | Domains | Facets | References

Background | Scoring | Questionnaire Items | Data requirements | Using the ehi functions | Nominal value | Laterality quotient | Combine EHI results into a data.frame | References

Background | Scoring | Data requirements | Using the gds functions | Calculating the GDS sum | Turning the sum into a factor | Computing score and factor in one function | References

Background | Scoring | Data requirements | Use the psqi functions | Component-wise calculations | Global calculation | Calculating all components and global in one go | References

Pipeline in short | Data location | Data decryption | Data combining | Data editing

Norwegian school history | M-74 | Reforms in 1987 og 1997 | Sources | NOAS data | Assessing factor levels | Recoding vector into factor | Alter factor to year | Converting between schemas | Compute education years from all available schemas | Compile education from several sources

Background | Rationale | Scoring | Using the ipaq functions | Altering times | MET category scores | References

Background | Scoring | Questionnaire items | Suicidality | Data requirements | Using the bdi functions | Nettskjema special case | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Administration & Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Background | Domains & facets | Scoring | Reliability | References

Applying the LCBC themes to ggplot | Colour scales | LCBC scales | Adding logo to plots

Applying the LCBC themes to ggplot | Colour scales | LCBC scales | Adding logo to plots

Introduction | How to use the package | Basic usage | Function documentation | The filter_site() function | Pipe ( %>% ) compatibility | Utility functions | The na_col_rm() function

Background | WASI vs. WPPSI | Subtests | Verbal subtests | Vocabulary | Similarities | Performance subtests | Matrices | Block | Intelligence scores | T-scores vs. Scaled scores | Verbal and Performance scores | Full scale IQ | Conversion tables | Using the iq functions | References

Pre-installed bundles | Prepare the tidyverse packages for install | Prepare your TSD environment for tidyverse | Linux OS libs | Install

Installation | Examples | Limitations

Pre-installed bundles | Prepare the tidyverse packages for install | Prepare your TSD environment for tidyverse | Linux OS libs | Install

Installation | Examples | Limitations

Switching to RHEL7 | Get the latest RStudio | create alias to open rstudio.

Switching to RHEL7 | Get the latest RStudio | create alias to open rstudio.

Recommendation for the R-script | Recommendation for the SLURM script | Submit your job

Recommendation for the R-script | Recommendation for the SLURM script | Submit your job

When installs from mini-CRAN fail | Solving problem 1 | system libs missing | Clang missing | Solving problem 2

When installs from mini-CRAN fail | Solving problem 1 | system libs missing | Clang missing | Solving problem 2