Welcome to Navure

Navure is a comprehensive statistical software that represents the culmination of years of expertise in software development, statistical consulting and education. It combines the user-friendly interface of ribbon-driven software with the robust capabilities of R to deliver unparalleled performance and efficiency.

Download the latest version of Navure today and try it without registration!

Get a license
Free student license

Take a guided tour!

Explore Navure's features and benefits in our guided tour video! Join us on our YouTube channel for an immersive journey through Navure's capabilities. Discover how Navure enhances statistical analysis, making it more efficient and insightful. See firsthand how Navure's tools and intuitive interface help you analyze data with precision and make informed decisions effortlessly. Don't miss out – subscribe now and join our YouTube channel for access to this tour and more videos!

Data handling

Our software boasts a comprehensive suite of data handling tools that streamline and enhance professional workflow, allowing for efficient and precise management of data.

  • Import Excel, text, csv, IDB2 (InfoStat)
  • Sort a data table just clicking column’s header
  • Filter cases by several criteria
  • Merge and split tables
  • Reformat tables from wide to long format and vise versa
  • Categorize numerical columns
  • Debug categorical variables
  • Merge and rename categories of categorical variables
  • Hide and rearrange columns
  • Apply math, character and date formulas
  • and much, much more…

Graphics

Our comprehensive selection of chart types includes scatter plots, bar plots, box plots, violin plots, profile plots, pie charts, histograms, empirical density plots, empirical distribution plots, theoretical density and distribution plots, stack bar plots, bi-plots, tri-plots, dendrograms, function charts, contour plots, smooths, and many more options for visualizing data and conveying information effectively.
Statistics

Integrated R interpreter

Statistics
Our software boasts an advanced integrated R interpreter, providing you the capability to conduct comprehensive statistical analysis and manipulate data seamlessly using the versatile R programming language. The integration of R interpreter in our software grants you access to a vast array of statistical and data manipulation functions and packages, enabling you to effortlessly enhance the software's capabilities and streamline your data analysis process.
Our software boasts an advanced integrated R interpreter, providing you the capability to conduct comprehensive statistical analysis and manipulate data seamlessly using the versatile R programming language. The integration of R interpreter in our software grants you access to a vast array of statistical and data manipulation functions and packages, enabling you to effortlessly enhance the software's capabilities and streamline your data analysis process.
Statistics

Univariate analysis

Our software offers a wide range of statistical analysis tools, including basic statistical description, one and two sample analysis, regression analysis, analysis of variance, mixed linear models, mixed generalized linear models, mixed non-linear linear models, Ridge, LASSO, PLS, Random Forest regression, non-parametric methods, sample size calculation and more. With these tools, you can gain insights into the relationships between variables, understand the underlying patterns in your data, and make informed decisions based on statistical analysis.

Multivariate analysis

Statistics
Our software offers a range of tools for performing unsupervised classification and cluster analysis, including hierarchical cluster analysis, fuzzy clustering, k-means clustering, model clustering, ordination analysis, principal component analysis, principal coordinate analysis, metric multidimensional analysis, and generalized Procrustes analysis. We also offer various classification algorithms such as k-nearest neighbors, linear discriminant analysis, and random forest. With these tools, you can gain insights into the underlying structure and relationships in your data, identify patterns and groupings within your data.
Our software offers a range of tools for performing unsupervised classification and cluster analysis, including hierarchical cluster analysis, fuzzy clustering, k-means clustering, model clustering, ordination analysis, principal component analysis, principal coordinate analysis, metric multidimensional analysis, and generalized Procrustes analysis. We also offer various classification algorithms such as k-nearest neighbors, linear discriminant analysis, and random forest. With these tools, you can gain insights into the underlying structure and relationships in your data, identify patterns and groupings within your data.
Statistics

Association analysis

Our software is equipped with a comprehensive set of advanced tools for performing association analysis, including a variety of methods for identifying and quantifying associations between variables in your data. These tools are designed to be intuitive, user-friendly and provide actionable insights to help you take strategic decisions.

  • Correlation
  • Partial correlation
  • Mantel correlation between matrix
  • Contingency table analysis
  • Multiple correspondence analysis
  • Calculation of similarities/dissimilarities
  • Latent variable modeling

Experimental design

Sample size calculation plays a crucial role in research design as it determines the number of observations or subjects required for a statistical study. Our software provides advanced tools for calculating sample sizes for estimating means and proportions, as well as for comparing means and proportions. The importance of sample size calculation cannot be overstated as it greatly impacts the precision and power of the study, as well as the cost and feasibility of the research.
Sample size calculation plays a crucial role in research design as it determines the number of observations or subjects required for a statistical study. Our software provides advanced tools for calculating sample sizes for estimating means and proportions, as well as for comparing means and proportions. The importance of sample size calculation cannot be overstated as it greatly impacts the precision and power of the study, as well as the cost and feasibility of the research.

Beautiful design

Our user interface is beautiful, with a visually pleasing design, intuitive navigation, and easy-to-use interface. The design is optimized for both professional and casual users, providing a user-friendly experience. Additionally, a dark mode option is available for comfortable use at any time.
Before After