posterior | The posterior R package | Development Tools library

by stan-dev R Version: v1.4.0 License: Non-SPDX

X-Ray Key Features Code Snippets(2)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | posterior Summary

posterior is a R library typically used in Utilities, Development Tools applications. posterior has no bugs, it has no vulnerabilities and it has low support. However posterior has a Non-SPDX License. You can download it from GitHub.

The posterior R package

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Quality

Security

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Support

posterior has a low active ecosystem.

It has 128 star(s) with 16 fork(s). There are 16 watchers for this library.

It had no major release in the last 12 months.

There are 54 open issues and 147 have been closed. On average issues are closed in 65 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of posterior is v1.4.0

Quality

posterior has 0 bugs and 0 code smells.

Security

posterior has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

posterior code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

posterior has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

posterior releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 17305 lines of code, 0 functions and 103 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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posterior Key Features

No Key Features are available at this moment for posterior.

posterior Examples and Code Snippets

Update the posterior distribution .

python

Lines of Code : 3

License : No License

Copy

def update(self, x):
    self.N += 1.
    self.p_estimate = ((self.N - 1)*self.p_estimate + x) / self.N

Sample the posterior of the posterior distribution .

python

Lines of Code : 3

License : No License

Copy

def posterior_predictive_sample(self, X):
    # returns a sample from p(x_new | X)
    return self.sess.run(self.posterior_predictive, feed_dict={self.X: X})

Community Discussions

Trending Discussions on posterior

Create a descending list of instances of different values in a pandas dataframe

Python - regex extract numbers from text that may contain thousands or millions separators and convert them to dot separated decimal floats

How can I replace these two functions with a single function?

In ggplot2 (R Studio), is there a way to extend the regression lines to the end of the plot rather than the last data point

Extracting draws from posterior after using emmeans and hpd.summary

MCMC for estimating negative binomial distribution

PyMC3/Arviz: CDF value from trace

Two-parameter Bayesian credibility Interval

Double quotes is not coming in output file in pyspark dataframe

Calculate posterior expected loss manually from bayesTest function of bayesAB package

QUESTION

Create a descending list of instances of different values in a pandas dataframe

Asked 2022-Mar-31 at 19:53

I need to filter through a pandas dataframe, and sort one of the columns, returning the number of instances of each value in descending order. I've been able to accomplish this using a dictionary and some other things, but it isn't being returned in pandas format, which is what I need. Apparently, there is a built-in pandas functionality that can do this? What would that be?

This is the tsv that becomes the pandas dataframe:

...

ANSWER

Answered 2022-Mar-31 at 19:47

IIUC, use value_counts:

Source https://stackoverflow.com/questions/71698226

QUESTION

Python - regex extract numbers from text that may contain thousands or millions separators and convert them to dot separated decimal floats

Asked 2022-Feb-21 at 12:37

I'm trying to extract 'valid' numbers from text that may or may not contain thousands or millions separators and decimals. The problem is that sometimes separators are ',' and in other cases are '.', the same applies for decimals. I should check if there is a posterior occurrence of ',' or '.' in order to automatically detect whether the character is a decimal or thousand separator in addition to condition \d{3}.

Another problem I have found is that there are dates in the text with format 'dd.mm.yyyy' or 'mm.dd.yy' that don't have to be matched.

The target is converting 'valid' numbers to float, I need to make sure is not a date, then remove millions/thousands separators and finally replace ',' for '.' when the decimal separator is ','.

I have read other great answers like Regular expression to match numbers with or without commas and decimals in text or enter link description here which solve more specific problems. I would be happy with something robust (don't need to get it in one regex command).

Here's what I've tried so far but the problem is well above my regex skills:

...

ANSWER

Answered 2022-Feb-21 at 12:37

You can use

Source https://stackoverflow.com/questions/71204703

QUESTION

How can I replace these two functions with a single function?

Asked 2022-Feb-19 at 18:21

I have the following two functions:

...

ANSWER

Answered 2022-Feb-19 at 18:21

This isn't really composition, as @mkriger1 pointed out, but if all you want is to "unroll" the list comprehension and inline the function, you could do the following:

Keep in mind that the list comprehension y_pred = [something(x) for x in X] is equivalent to the code

Source https://stackoverflow.com/questions/71180152

QUESTION

In ggplot2 (R Studio), is there a way to extend the regression lines to the end of the plot rather than the last data point

Asked 2022-Feb-19 at 14:55

I am a relative novice to R & ggplot. I am trying to plot an interaction. When I plot the interaction using SPSS - the regression lines go from the y-axis all the way to the opposite edge of the plot:

However, when I use ggplot, the regression lines only go as far as the first and last data point which makes the graph look strange

Is there any way to remedy this and make my ggplot look more like the SPSS plot?

Here is the code I am using

...

ANSWER

Answered 2022-Feb-19 at 14:55

geom_smooth has a fullrange option, which has a default value of FALSE:

Should the fit span the full range of the plot, or just the data?

Thus, you can use:

Source https://stackoverflow.com/questions/71184417

QUESTION

Extracting draws from posterior after using emmeans and hpd.summary

Asked 2022-Feb-14 at 22:54

I have a dataset from participants that provided liking ratings (on a scale from 0-100) of stimuli associated with rewards of different magnitudes (factor pval, with levels small/medium/large) and delay (factor time, with levels delayed/immediate). A subset of the data looks like this:

...

ANSWER

Answered 2022-Feb-14 at 22:54

Regarding the first question: As is true of most summary methods, the returned object is just a summary, and it doesn't contain the information to convert it back to an object like the one that was summarized. However, the original emmGrid object does have all the needed content.

The other barrier is trying to work from the contrasts you don't want rather than getting the ones you do want. It is usually best to do the means and contrasts in two separate steps. It is quite simple to do:

Source https://stackoverflow.com/questions/71114243

QUESTION

MCMC for estimating negative binomial distribution

Asked 2022-Jan-19 at 21:25

I want to estimate parameters of negative binomial distribution using MCMC Metropolis-Hastings algorithm. In other words, I have sample:

...

ANSWER

Answered 2022-Jan-19 at 21:25

Change dnorm in loglikelihood to dnbinom and fix the proposal for prob so it doesn't go outside (0,1):

Source https://stackoverflow.com/questions/70777597

QUESTION

PyMC3/Arviz: CDF value from trace

Asked 2022-Jan-15 at 18:32

I have a sample from PyMC3 and I'm trying to get a cumulative probability from it, e.g. P(X < 0). I currently use this:

...

ANSWER

Answered 2022-Jan-12 at 11:32

You could approximate the CDF with a kernel density estimate, but I am not convinced that this is better than your current approach:

Source https://stackoverflow.com/questions/70680443

QUESTION

Two-parameter Bayesian credibility Interval

Asked 2022-Jan-04 at 00:04

How can I determine the confidence/credibility intervals for the posterior estimates of a multi-parameter model?

I can get the confidence interval for each parameter separately. (Currently using bayestestR, but I don't mind using something else)

...

ANSWER

Answered 2022-Jan-03 at 17:42

Here's one base-R-plotting solution, which plots a 95% highest posterior density region based on a 2-D kernel density estimate:

Source https://stackoverflow.com/questions/70569213

QUESTION

Double quotes is not coming in output file in pyspark dataframe

Asked 2021-Dec-23 at 06:21

Hi I am trying to save pyspark dataframe into file but not getting the actual data. Double quotes is removing in csv file. Could you please help me to resolve this issue?

Example:

Raw_Layer:

...

ANSWER

Answered 2021-Dec-23 at 06:21

You confused the escape argument with the quote argument:

Source https://stackoverflow.com/questions/70458321

QUESTION

Calculate posterior expected loss manually from bayesTest function of bayesAB package

Asked 2021-Dec-17 at 20:48

When I use the function on some simulated data

...

ANSWER

Answered 2021-Dec-17 at 20:48

You are able to figure this out by looking at how the summary is created, i.e. running bayesAB:::summary.bayesTest in the console. Doing this myself I found:

Source https://stackoverflow.com/questions/70398575

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install posterior

You can install the latest official release version via. or build the developmental version directly from GitHub via.

Support

We welcome contributions! The posterior package is under active development. If you find bugs or have ideas for new features (for us or yourself to implement) please open an issue on GitHub (https://github.com/stan-dev/posterior/issues).

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