Automated build.

.setup/latex/bib/bib.bib

@@ -237,6 +237,18 @@ @Article{Rubin-1976
   publisher = {Oxford University Press ({OUP})},
 }
 
+@Book{Arnold-1974,
+  author = {Ludwig Arnold},
+  date = {1974},
+  title = {Stochastic differential equations: Theory and applications},
+  isbn = {9780471033592},
+  location = {New York, NY},
+  pagetotal = {228},
+  publisher = {Wiley},
+  series = {A Wiley-Interscience publication},
+  subtitle = {Theory and applications},
+}
+
 @InBook{Baltes-Nesselroade-1979,
   author = {Paul B. Baltes and John R. Nesselroade},
   date = {1979},
@@ -2454,6 +2466,18 @@ @Article{Koopman-Howe-Hollenbeck-etal-2015
   annotation = {mediation, mediation-bootstrap, mediation-bayesian},
 }
 
+@Article{Kossakowski-Groot-Haslbeck-2017,
+  author = {Jolanda J. Kossakowski and Peter C. Groot and Jonas M. B. Haslbeck and Denny Borsboom and Marieke Wichers},
+  date = {2017-02},
+  journaltitle = {Journal of Open Psychology Data},
+  title = {Data from ‘Critical Slowing Down as a Personalized Early Warning Signal for Depression’},
+  doi = {10.5334/jopd.29},
+  issn = {2050-9863},
+  volume = {5},
+  abstract = {We present a dataset of a single (N = 1) participant diagnosed with major depressive disorder, who completed 1478 measurements over the course of 239 consecutive days in 2012 and 2013. The experiment included a double-blind phase in which the dosage of anti-depressant medication was gradually reduced. The entire study looked at momentary affective states in daily life before, during, and after the double-blind phase. The items, which were asked ten times a day, cover topics like mood, physical condition and social contacts. Also, depressive symptoms were measured on a weekly basis using the Symptom Checklist Revised (SCL-90-R). The data are suitable for various time-series analyses and studies in complex dynamical systems.},
+  publisher = {Ubiquity Press, Ltd.},
+}
+
 @Article{Kuiper-Oisin-2018,
   author = {Rebecca M. Kuiper and Oisin Ryan},
   date = {2018-03},
@@ -2892,6 +2916,19 @@ @Article{Voelkle-Oud-Davidov-etal-2012
   keywords = {continuous time modeling, panel design, autoregressive cross-lagged model, longitudinal data analysis, structural equation modeling},
 }
 
+@Article{Wichers-Groot-Psychosystems-2016,
+  author = {Marieke Wichers and Peter C. Groot and {Psychosystems} and {ESM Group} and {EWS Group}},
+  date = {2016},
+  journaltitle = {Psychotherapy and Psychosomatics},
+  title = {Critical slowing down as a personalized early warning signal for depression},
+  doi = {10.1159/000441458},
+  issn = {1423-0348},
+  number = {2},
+  pages = {114--116},
+  volume = {85},
+  publisher = {S. Karger AG},
+}
+
 @Article{Wu-Jia-2013,
   author = {Wei Wu and Fan Jia},
   date = {2013-09},
@@ -2951,6 +2988,16 @@ @Article{Zhang-Wang-2012
   annotation = {mediation, mediation-missing, mediation-bootstrap},
 }
 
+@Book{Bolger-Laurenceau-2013,
+  author = {Niall Bolger and Jean-Philippe Laurenceau},
+  date = {2013},
+  title = {Intensive longitudinal methods: An introduction to diary and experience sampling research},
+  isbn = {9781462506927},
+  publisher = {Guilford Publications},
+  subtitle = {An introduction to diary and experience sampling research},
+  abstract = {A complete, practical guide to planning and executing an intensive longitudinal study, this book provides the tools for understanding within-subject social, psychological, and physiological processes in everyday contexts. Intensive longitudinal studies involve many repeated measurements taken on individuals, dyads, or groups, and include diary and experience sampling studies. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, model within-subject change processes for continuous and categorical outcomes, distinguish within-subject from between-subjects effects, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication.},
+}
+
 @Book{Eddelbuettel-2013,
   author = {Dirk Eddelbuettel},
   date = {2013},
@@ -3009,6 +3056,15 @@ @Book{Little-Rubin-2019
   keywords = {Mathematical statistics, Mathematical statistics--Problems, exercises, etc., Missing observations (Statistics), Missing observations (Statistics)--Problems, exercises, etc.},
 }
 
+@Book{Mehl-Conner-Csikszentmihalyi-2011,
+  author = {Matthias R. Mehl and Tamlin S. Conner and Mihaly. Csikszentmihalyi},
+  date = {2011},
+  title = {Handbook of research methods for studying daily life},
+  isbn = {9781609187491},
+  publisher = {Guilford Publications},
+  abstract = {Laboratory-based experimental methods historically have been the strength and pride of psychology and related disciplines. Yet a comprehensive science of behavior also requires the study of humans in real life. Bringing together leading investigators, this book reviews the breadth of current approaches for studying how people think, feel, and behave in everyday environments. The Handbook is organized in four parts. Part I covers the theoretical and methodological foundations of conducting daily life research. Part II provides guidance for designing a high-quality study and selecting and implementing appropriate methods. The chapters describe experience sampling methods, diary methods, ambulatory physiological measures, and other tools---including recording technologies and computerized approaches---that allow repeated, real-time measurement in natural settings. Part III focuses on techniques for analyzing intensive data from daily life, featuring practical discussions of power analysis, psychometrics, data cleaning, multilevel modeling, time series analysis, and other topics. Part IV reviews how methods for studying daily life have been employed in different subfields and research areas, such as the study of emotion, close relationships, personality, health, development, psychopathology, and mental health treatment. Specific advantages and challenges inherent to using the methods in each area are discussed. Timely and authoritative, this handbook meets a key need for research psychologists and for graduate students in social/personality, health, developmental, industrial/organizational, and clinical psychology.},
+}
+
 @Book{Millsap-2011,
   author = {Roger E. Millsap},
   date = {2011},
@@ -3605,6 +3661,26 @@ @InBook{Chow-Losardo-Park-etal-2023
   publisher = {The Guilford Press},
 }
 
+@Book{Gates-Chow-Molenaar-2023,
+  author = {Kathleen M. Gates and Sy-Miin Chow and Peter C. M. Molenaar},
+  date = {2023},
+  title = {Intensive longitudinal analysis of human processes},
+  doi = {10.1201/9780429172649},
+  isbn = {9780429172649},
+  location = {Boca Raton},
+  publisher = {Chapman \& Hall/CRC Press,},
+  series = {Chapman \& Hall/CRC statistics in the social and behavioral sciences},
+  abstract = {This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. Our purpose is to provide one consolidated resource that includes techniques from disciplines such as engineering, physics, statistics, and quantitative psychology and outlines their application to data often seen in human research. The book balances mathematical concepts with information needed for using these statistical approaches in applied settings, such as interpretative caveats and issues to consider when selecting an approach.
+The statistical topics covered here include foundational material as well as state-of-the-art methods. These analytic approaches can be applied to a range of data types such as psychophysiological, self-report, and passively collected measures such as those obtained from smartphones. We provide examples using varied data sources including functional MRI (fMRI), daily diary, and ecological momentary assessment data.
+Features:
+Description of time series, measurement, model building, and network methods for person-specific analysis
+Discussion of the statistical methods in the context of human research
+Empirical and simulated data examples used throughout the book
+R code for analyses and recorded lectures for each chapter available at the book website: https://www.personspecific.com/
+Across various disciplines of human study, researchers are increasingly seeking to conduct person-specific analysis. This book provides comprehensive information, so no prior knowledge of these methods is required. We aim to reach active researchers who already have some understanding of basic statistical testing. Our book provides a comprehensive resource for those who are just beginning to learn about person-specific analysis as well as those who already conduct such analysis but seek to further deepen their knowledge and learn new tools.
+},
+}
+
 @Book{Hayes-2022,
   author = {Andrew F. Hayes},
   date = {2022},
@@ -3624,7 +3700,7 @@ @Book{Hayes-2022
 @InBook{Vanhasbroeck-Ariens-Tuerlinckx-etal-2021,
   author = {Niels Vanhasbroeck and Sigert Ariens and Francis Tuerlinckx and Tim Loossens},
   booktitle = {Affect dynamics},
-  editors = { Christian E. Waugh and Peter Kuppens},
+  editors = {Christian E. Waugh and Peter Kuppens},
   date = {2021},
   title = {Computational models for affect dynamics},
   doi = {10.1007/978-3-030-82965-0_10},

.setup/latex/pdf/.gitignore

@@ -0,0 +1,5 @@
+*
+*/
+!*.pdf
+!.gitignore
+!bib.bib