LinearSolver vs Bayesian P
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
LinearSolver
Solve systems of linear equations with multiple variables using two distinct methods. Input your equations, select a solving technique, and view detailed step-by-step solutions. Ideal for students and professionals needing quick and accurate calculations.
- Solves systems of linear equations
- Supports n variables
- Gaussian elimination method
- Cramer's rule method
- Detailed solution steps
- User-friendly input interface
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LinearSolver is an app that designed to solve systems of linear equations with n variables. You enter equations in the field, then choose solving method and press a button «Solve». Then program solves your linear system. There are two methods for solving: Gaussian elimination and Cramer's rule. For more intelligibility enable the «detailed solution».
Bayesian P
This app helps interpret p-values from clinical trials by incorporating prior probabilities and Bayesian inference. It provides realistic interpretations of reported p-values, aiding in understanding the likelihood of experimental outcomes.
- Interpret p-values with prior probabilities
- Bayesian inference for scientific expectations
- Calculate probability of clinical trial outcomes
- Realistic interpretation of reported p-values
- Explanations and examples of Bayesian concepts
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Calculate probability of outcomes of clinical trials, by interpreting reported p-values in the context of scientific expectations, using prior probabilities of outcomes and Bayesian thinking. · p-values are frequently misused and misinterpreted ( see American Statistical Association statement on p-values) · Bayesian inference aids interpretation of p-values with reference to prior knowledge of the probability of the experimental outcome · P-value Interpreter permits realistic interpretation of reported p-values from user entered pre-trial probabilities of clinical trial outcomes and p-values for single and sequential trials · "Learn more" buttons lead to explanations of prior probabilities, p-values and Bayesian probabilities employed in calculating the direct probability of the trial outcomes (e.g. null hypothesis being false), illustrated with examples
Screenshots
Verdict
The clearest difference is review sentiment: Bayesian P at 100% against LinearSolver's 0%. Bayesian P also leads on price (Free vs $1.99) and rating (5.0 vs 3.0). LinearSolver's advantage is device support (3 vs 1) and iOS requirement (12.0 vs 18.4). On ads and in-app purchases there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Bayesian P is free to download; LinearSolver costs $1.99 up front. Neither carries in-app purchases, so what you see is what you pay.
Bayesian P holds the better App Store score, 5.0 against 3.0. Both are backed by a comparable volume of ratings — 1 and 3 respectively. Written reviews point the same way: 0% of LinearSolver's written reviews are positive against 100% of Bayesian P's.
LinearSolver ships an update every 39 months, Bayesian P monthly. The most recent releases landed on September 22, 2026 and September 7, 2026 respectively.
| Parameter | LinearSolver | Bayesian P |
|---|---|---|
| Price | $1.99 | Free — better |
| Rating | 3.0 (1 ratings) | 5.0 (3 ratings) — better |
| Positive reviews | 0.0% of reviews | 100.0% of reviews — better |
| Number of ratings | 1 | 3 — better |
| Update frequency | Every 39 months | Monthly — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | Free — better |
| Devices | iPhone, iPad, iPod — better | iPhone |
| Requires iOS | 12.0 — better | 18.4 |
| Further details — not scored | ||
| Size | 8 MB | 7 MB |
| Age rating | 4+ | 4+ |
| Developer | Alexander Gurzhiev | Samuel Kaplan |
Customer experience
LinearSolver
Bayesian P
In-app purchases
LinearSolver
No in-app purchases
Bayesian P
No in-app purchases
Questions
Is LinearSolver free?
Is Bayesian P free?
Which has better reviews, LinearSolver or Bayesian P?
Do LinearSolver or Bayesian P have ads?
Which is updated more often, LinearSolver or Bayesian P?
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