My Portfolio

Conference talks, courses, publications and other projects

Apps and Packages

R-package
Web application

Simrel R-package:

simrel R-package is a versatile tool for simulation of linear model data. Using the package users can simulate univariate, bivariate with specific correlation and multivariate (multiple response) linear model data. The simulation approach is based on relevant space of a linear model similar to Partial least squares (PLS) and Envelope models.

CRAN: https://cran.r-project.org/web/packages/simrel/index.html

GitHub: https://simulatr.github.io/simrel/

AppSimulatr:: A shiny application for versatile simulation from linear model in R based on R-package simrel. App uses simple interface to specify various parameters for simulation, visualize the properties and download the simulated data.

GitHub: https://github.com/simulatr/AppSimulatr

Towards SDG

A web application for collecting data from researchers and educators on their contribution to SDG goals, targets and their interactions. The app was build using mongodb for database, graphql for API and React for front end. A prototype of the app can be accessed from following link.

URL: https://therimalaya.github.io/Towards-SDG/

Long-term Trend on Tumour Thickness of Melanoma in Norway

NOFE Conference, 2021

Bergen, Norway

A versatile tool for simulating linear model data

UseR! 2018 Conference

Brisbane, Australia

Simrel-M: A simulation tool and its application

The 19th national meeting of statistics (Norske Statistikermøtet)

Fredrikstad, Norway

A comparison of multi-response prediction methods

Scandinavian Symposium on Chemometrics (SSC16) Conference

Oslo, Norway

Trends in melanoma tumour thickness in Norway, 1983--2019

ANCR-Symposium, 2022

Tórshavn, Faroe Islands

Long-term trend in melanoma tumour thickness in Norway

Tenth World Congress of Melanoma in Conjunction with 17th EADO Congress

Virtual (Online)

Simrel-M: A simulation tool for multi-response linear model data

26th Nordic Conference in Mathematical Statistics (NordStat, 2016)

Copenhagen, Danmark

Multimatrix Extension of Partial Least Square

The first annual conference of NORBIS

Rosendal Fjordhotel, Norway

Courses

Design of Experiment and Analysis of Variance

A three day quick repetition of the course. It includes some of the following topics,

Inference: Hypothesis, Tests (T, F, Chi-sq)
ANOVA (test, confidence interval, post-hoc test, contrast)
Fixed and random effects, multiple factors and interaction
Model assessment

Discrimination and Classification

This one day lecture covers following topics,

Discrimination: Univariate, Bivariate, decision regions

Classification: LDA, QDA, confusion matrix

Model selection and evaluation: Error measures, cross-validation

Assorted presentations

A versatile tool for simulating linear model data

Biostatistics group, NMBU, 15 Mar, 2018

A versatile simulation tool with an example of its application

Klekken seminar, 2018, 2018

Simulation Tool and its application

PhD Midway Seminar, NMBU, 2018

Use of Simulation in Statistics

Norwegian University of Life Sciences (NMBU), 2019

Grammer of graphics with ggplot

Radium Hospital, 2022

Publications

[1]

R. Rimal, T. Almøy, S. Sæbø, A tool for simulating multi-response linear model data, Chemometrics and Intelligent Laboratory Systems 176 (2018) 1–10. https://doi.org/10.1016/j.chemolab.2018.02.009.

[2]

I.S. Helland, S. Sæbø, T. Almøy, R. Rimal, Model and estimators for partial least squares regression, Journal of Chemometrics 32 (2018) e3044. https://doi.org/10.1002/cem.3044.

[3]

R. Rimal, T. Almøy, S. Sæbø, Comparison of multi-response estimation methods, Chemometrics and Intelligent Laboratory Systems 205 (2020) 104093. https://doi.org/10.1016/j.chemolab.2020.104093.

[4]

R. Rimal, T. Almøy, S. Sæbø, Comparison of multi-response prediction methods, Chemometrics and Intelligent Laboratory Systems 190 (2019) 10–21. https://doi.org/10.1016/j.chemolab.2019.05.004.

[5]

R. Rimal, Exploration of multi-response multivariate methods, Doctoral thesis, Norwegian University of Life Sciences, Ås, 2019. https://nmbu.brage.unit.no/nmbu-xmlui/handle/11250/2678882 (accessed June 8, 2023).

[6]

R. Rimal, Evaluation of models for predicting the average monthly euro versus norwegian krone exchange rate from financial and commodity information, PhD thesis, Norwegian University of Life Sciences, Ås, 2014. https://doi.org/10.13140/RG.2.1.1145.4886.

[7]

A. Ahimbisibwe, M. Valberg, A.C. Green, R. Ghiasvand, C.S. Rueegg, R. Rimal, E. Weiderpass, T.M. Sandanger, T.E. Robsahm, M.B. Veierød, Nevus count, pigmentary characteristics, and melanoma-specific mortality among norwegian women with melanoma 1.0 mm thick, Acta Dermato-Venereologica 103 (2023) adv4403–adv4403. https://doi.org/10.2340/actadv.v103.4403.

[8]

I. Hestnes, L.B. Solberg, H.E. Meyer, M. Sundet, R. Rimal, L. Nordsletten, K.A. Hakestad, The hip fracture incidence in the high-risk area oslo continues to decline, Osteoporos Int (2024). https://doi.org/10.1007/s00198-024-07156-8.

[9]

R. Rimal, T.E. Robsahm, A.C. Green, R. Ghiasvand, C.S. Rueegg, A. Bassarova, P. Gjersvik, E. Weiderpass, O.O. Aalen, B. Møller, F. Perrier, M.B. Veierød, Trends in invasive melanoma thickness in norway, 1983–2019, Acta Dermato-Venereologica 104 (2024) adv26110–adv26110. https://doi.org/10.2340/actadv.v104.26110.