tag:crantastic.org,2005:/packages/ggeffectsLatest activity for ggeffects2019-11-08T13:41:58Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/945532019-11-08T13:41:58Z2019-11-08T13:41:58Zggeffects was upgraded to version 0.13.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/89902">0.13.0</a><br /><h3>Package description:</h3><p>Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/923292019-09-03T14:01:38Z2019-09-03T14:01:38Zggeffects was upgraded to version 0.12.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/87793">0.12.0</a><br /><h3>Package description:</h3><p>Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/901082019-07-01T10:41:32Z2019-07-01T10:41:32Zggeffects was upgraded to version 0.11.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/85697">0.11.0</a><br /><h3>Package description:</h3><p>Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/883422019-05-13T13:41:26Z2019-05-13T13:41:26Zggeffects was upgraded to version 0.10.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/83979">0.10.0</a><br /><h3>Package description:</h3><p>Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/861572019-03-17T14:41:25Z2019-03-17T14:41:25Zggeffects was upgraded to version 0.9.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/81898">0.9.0</a><br /><h3>Package description:</h3><p>Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/833522019-01-09T16:41:26Z2019-01-09T16:41:26Zggeffects was upgraded to version 0.8.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/79319">0.8.0</a><br /><h3>Package description:</h3><p>Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/818222018-11-17T10:41:22Z2018-11-17T10:41:22Zggeffects was upgraded to version 0.7.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/77848">0.7.0</a><br /><h3>Package description:</h3><p>Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/803592018-10-11T07:21:19Z2018-10-11T07:21:19Zggeffects was upgraded to version 0.6.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/76670">0.6.0</a><br /><h3>Package description:</h3><p>Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/784762018-08-11T08:21:23Z2018-08-11T08:21:23Zggeffects was upgraded to version 0.5.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/74830">0.5.0</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggaverage(), however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/770772018-07-03T12:01:19Z2018-07-03T12:01:19Zggeffects was upgraded to version 0.4.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/73559">0.4.0</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggaverage(), however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/760962018-06-08T10:21:24Z2018-06-08T10:21:24Zggeffects was upgraded to version 0.3.4<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/72621">0.3.4</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggaverage(), however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/745442018-05-03T18:21:25Z2018-05-03T18:21:25Zggeffects was upgraded to version 0.3.3<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/71159">0.3.3</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggaverage(), however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/728492018-03-21T14:01:24Z2018-03-21T14:01:24Zggeffects was upgraded to version 0.3.2<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/69540">0.3.2</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggaverage(), however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/704072018-01-15T14:40:53Z2018-01-15T14:40:53Zggeffects was upgraded to version 0.3.1<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/67256">0.3.1</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggaverage(), however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/689162017-11-27T18:40:59Z2017-11-27T18:40:59Zggeffects was upgraded to version 0.3.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/65896">0.3.0</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are 'ggpredict()' and 'ggaverage()', however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic 'plot()'-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/665872017-09-20T03:20:59Z2017-09-20T03:20:59Zggeffects was upgraded to version 0.2.2<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/63692">0.2.2</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are 'ggpredict()' and 'ggaverage()', however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic 'plot()'-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/657092017-08-22T14:21:07Z2017-08-22T14:21:07Zggeffects was upgraded to version 0.2.1<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/62837">0.2.1</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are 'ggpredict()' and 'ggaverage()', however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic 'plot()'-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/648352017-07-24T12:40:51Z2017-07-24T12:40:51Zggeffects was upgraded to version 0.2.0<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/62012">0.2.0</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are 'ggpredict()' and 'ggaverage()', however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic 'plot()'-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/636522017-06-19T10:20:58Z2017-06-19T10:20:58Zggeffects was upgraded to version 0.1.2<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/60884">0.1.2</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are 'ggpredict()' and 'ggaverage()', however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic 'plot()'-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/626402017-05-17T10:40:49Z2017-05-17T10:40:49Zggeffects was upgraded to version 0.1.1<a href="/packages/ggeffects">ggeffects</a> was <span class="action">upgraded</span> to version <a href="/packages/ggeffects/versions/59897">0.1.1</a><br /><h3>Package description:</h3><p>Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are 'ggpredict()' and 'ggaverage()', however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic 'plot()'-method to plot the results using 'ggplot2'.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/619062017-04-26T17:40:58Z2017-04-26T17:40:58Zggeffects was released<a href="/packages/ggeffects">ggeffects</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.</p>crantastic.org